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000-744 - DS4000 Technical Version 1 - Dump Information

Vendor : IBM
Exam Code : 000-744
Exam Name : DS4000 Technical Version 1
Questions and Answers : 150 Q & A
Updated On : February 15, 2019
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000-744 DS4000 Technical Version 1

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000-744 exam Dumps Source : DS4000 Technical Version 1

Test Code : 000-744
Test Name : DS4000 Technical Version 1
Vendor Name : IBM
Q&A : 150 Real Questions

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IBM DS4000 Technical Version 1

IBM energy system S922: Rack Server Overview and perception | killexams.com Real Questions and Pass4sure dumps

See the full listing of desirable rack server carriers

final analysis:

The IBM energy systems S922 server is designed from the floor up for statistics intensive workloads like databases or analytics. it will probably assist several key enterprise statistics-intensive scenarios, together with mainstream applications, main-facet HPC workloads and evolving artificial intelligence (AI) tasks.

valued clientele searching for primary compute energy should recognize this key truth: POWER9 options are the groundwork of the realm’s first and third fastest supercomputers, the U.S. department of energy’s Summit and Sierra installations.

IBM vigour servers are inclined to have an improved can charge of entry than x86 machines. however, in line with a look at by means of Quark + Lepton, IBM energy programs running IBM I utility have 60% decrease total can charge of possession than windows/SQL Server or X86 based Oracle programs. IBM’s pitch is that there are limits to what commodity architectures can do.

despite the fact, if you expect surges favorite and don’t have room for downtime, licensing prices, or occasional crashes a much better commercial enterprise architecture can be required.

Product description:

The S922 is a 1 or 2 socket server that presents a large choice of core configurations and up to four TB of memory. Chip core speeds on the four-core are 2.8 to 3.8GHz, on the 8 core are 3.four to 3.9 GHz and on the 10 core are 2.9 to three.eight GHz. the single socket version gives up to six PCIe ( 2 x Gen4 and four x Gen3) slots and the two socket version gives as much as 9 slots (3 more Gen4 slots). One slot is used through a compulsory Ethernet adapter. depending on what is connected, up to 3 of these slots could be reserved for other purposes. IBM i is just supported on the 6 cores and eight core processors and is limited to four cores of IBM i with a application tier of P10.

energy systems are accepted for his or her RAS (resiliency, availability, serviceability) aspects. IBM POWER9-based methods are talked about to convey as much as 10X faster bandwidth acceleration and 50% better memory bandwidth than related x86 options. They also help the latest in statistics switch applied sciences, including PCIe four.0 and novel NVLink and OpenCAPI interfaces. This new server generation comes along with twice the reminiscence footprint than POWER8. adjustments in the memory subsystem and using the latest DIMMs increase rate/efficiency.

elements:

number of processors:

up to 2

Processors supported:

IBM POWER9 Scale-Out SMT8 processor (12-core, 10-core, 8-core, four-core choices)

Cores per processor:

4, 8,10 cores per socket

highest processor frequency/cache:

three.9 GHz/512k L2 and 10 MB L3

I/O expansion slots:

the one socket edition provides up to 6 PCIe ( 2 x Gen4 and four x Gen3) slots and the two socket edition offers up to 9 slots (3 greater Gen4 slots). One slot is used by using a mandatory Ethernet adapter. counting on what is attached, up to 3 of those slots could be reserved for different applications.

One entrance USB 3.0 ports – Two rear USB three.0 ports – Two HMC 1 GbE RJ45 ports – One gadget port with RJ45 connector – 1x USB three.0 entrance, 2x USB three.0 rear, 2x HMC 1 GB Eth RJ45 ports, one equipment port with RJ45 connector, 2x excessive pace 25 Gb/s ports

optimum memory/# slots/speed:

up to four TB/32 IS RDIMM slots/up to 2666 Mhz

optimum Persistent reminiscence:

NA 

Storage controller:

S922/S924 has two inside direct connected storage connectors, an NVMe card and a SAS card

assist:

The digital features web portal is a single web entry point that replaces the varied entry elements historically used to entry IBM web services and support. This web portal allows you to gain less complicated access to IBM substances for suggestions in resolving technical issues. The newly improved My systems and premium Search functions make it even less difficult for digital carrier Agent-enabled customers to track equipment stock and discover pertinent fixes.

My systems provides advantageous experiences of put in hardware and software the use of counsel accrued from the systems by means of IBM electronic service Agent. studies are available for any device linked to the customer's IBMid. premium Search combines the characteristic of search and the cost of digital carrier Agent advice, featuring advanced search of the technical assist knowledgebase.

“it's a clear option in case you have already got an established IBM AIX environment and need to maintain compatibility and keep performance. There are comparable options now which may be in a position to get you to three nines for 1/2 the costs,” stated a Senior manager of IT within the manufacturing industry. 

Key markets and use cases:

IBM power methods S922 server quite simply integrates into an organization’s cloud & cognitive method and supplies superior rate efficiency for mission essential workloads.

POWER9 is designed from the ground up for information intensive workloads like databases or analytics

fee:

20 core, 512 GB, $37,222. The application is costly.

“it is a product with high performance, effectivity and financial indices within the IT market,” referred to an purposes Engineering within the education business. "Deployment is very effortless, however took greater than three months. It proved budget friendly in the long run.”

Server

IBM energy S922

Max Processor Frequency

3.9 GHz/512k L2 and 10 MB L3

Max Persistent memory

N/A

kind component

2U

Max Processors

2 POWER9 Scale-Out SMT8

Max memory

4 TB

Max Storage

4 TB

expense

$37,222

Key Differentiator

true processing power


A Technical Breakdown Of Google's New Blockchain Search tools | killexams.com Real Questions and Pass4sure dumps

photo used as part of the official announcement.Google Cloud

Google is now within the blockchain search enterprise. lower than a day after Forbes broke the story that the information superhighway search tremendous would be launching a suite of tools constructed by means of, and for, open supply developers, those tools are are living.

besides loading information units for all the transactions and metadata in eight cryptocurrencies, together with bitcoin and ethereum, Google Cloud developer recommend Allen Day and his group of open source builders from worldwide are launching a few equipment designed to do to blockchain, what Google search did to the web.

“i'm very involved to quantify what's happening in order that we can see the place the true reliable use situations are for blockchain,” mentioned Day, who manages the cloud element of the challenge. "So americans can acknowledge that after which we are able to circulate to the next use case and boost out what these technologies are really appropriate for.”

closing year Day and lead developer Evgeny Medvedev discreetly loaded transaction statistics for the bitcoin and ethereum blockchains, together with some basic search tools, to Google's BigQuery facts analytics platform and had been discovering how developers are the use of the application. As of nowadays, they may be taking what they've realized and making statistics units obtainable for bitcoin money, ethereum traditional, litecoin, zcash, dogecoin and sprint, together with an elevated suite of search equipment.

Dubbed Blockchain ETL (extract, transform, load), the software, which turned into created through unbiased developer Medvedev with guide from the leisure the crew, contains elements comparable to integration with Google’s BigQuery ML (computer learning) tool, which changed into launched into a test, or “beta” version ultimate 12 months. by means of searching for patterns in transaction flows, the laptop studying integration will instantly supply the consumer simple assistance about how a cryptocurrency handle is being used.

as an instance, the tool can be used to research transaction flows to assess whether an tackle is holding funds for a cryptocurrency mining pool, during which clients make a contribution unused computing device power to audit blockchain transactions in alternate for cryptocurrency. in the future, the BigQuery ML integration may additionally determine cryptocurrency addresses owned by a single entity, for instance an alternate, and condense those addresses right into a single data element, simplifying comparisons.

additionally protected in the launch, the blockchain information units have been standardized into what Day calls a "unified schema," meaning the information is structured in a uniform, easy-to-access manner. by way of ensuring this stage of consistency across information units, Day hopes to make it more convenient for statistics scientists, auditors, and investigators to make comparative statements about transactions within the supported blockchains. “And others going forward will use the same architecture,” Day adds. 

another new search characteristic is what Day calls a “double entry e-book view,” designed to simplify the way users can seek the cumulative stability of an account over a particular time, correct to the eight decimal places, which is the smallest possible bitcoin denomination, called a satoshi, named after the cryptocurrency’s pseudonymous inventor.

records units that fall into what is called the “Satoshi household,” which means they structurally resemble bitcoin, should be searchable with the aid of two standards: block and transactions. Whereas guide for the ethereum and ethereum classic blockchains, with their greater advanced smart contract performance, includes five further tables designed to allow greater subtle searches.

the first terabyte of inquiries for these and other information units are free every month, with further charges charged per byte or a flat $forty,000 month-to-month price for top-volume clients. Amazon, Google’s biggest cloud computing competitor, entered blockchain remaining year in a big manner, and fellow cloud leader Microsoft is now considered a professional veteran of the burgeoning space. As startups like Storj and Perlin goal to use cryptocurrency as a method to incentivize users to undertake their decentralized types of cloud computing, Day says the trade, anticipated to reach $411 billion subsequent 12 months, is primed to adventure a blockchain renaissance.

“Some individuals are extra theoretical, and the importance of their work becomes utterly manifested many years after they’re lifeless,” says Day. “I bet I’m just greater interested in seeing issues play out in entrance of me, as hostile to doing anything else deeply theoretical.”

To incentivize as a good deal participation as possible, Medvedev and Day have partnered with the nonprofit Ethereum group Fund, which is in flip offering cryptocurrency rewards to developers who discover and repair bugs within the code. “There are round ten core contributors that helped put in force quite a lot of add-ons of the equipment,” says Medvedev, who leads the developers and become prior to now the lead statistics engineer at cryptocurrency intelligence enterprise Coinfi. “they're spread worldwide: some are living in Russia, others in Singapore or China.”

in all probability unsurprisingly, Day’s position as customer zero ability his hobby in helping create the blockchain search features goes beyond thought. He believes the equipment will permit more superior econometric calculations together with the Gini coefficient, which measures the distribution of wealth in a given gadget, and will finally be used to be mindful which countries are using the cryptocurrency. whereas blockchain statistics doesn’t natively encompass suggestions about the place a transaction occurs, Day is personally exploring how BigQuery ML could be leveraged to display transaction locations.

“this is not some sort of dependency on government company reporting,” says Day. “we have all of the records, and we are able to pull metrics and and examine them and motive about them over time.”  

To demonstrate how Blockchain ETL may result in advancements to the cryptocurrency economy, Day is also the use of the suite of equipment to assess a few cryptocurrencies, most above all bitcoin money and ethereum basic. whereas both the cryptocurrencies resulted from a dispute about the way to permit smaller, more affordable transactions, Day found, in line with the file posted nowadays, that the cryptocurrencies are being hoarded in much the identical manner as their predecessors.

From the report:

"Bitcoin cash turned into purportedly created to increase transfer-of-cost use circumstances via decrease transaction expenses, which should still finally lead to a lessen Gini coefficient of handle balances. despite the fact, we see that the contrary is true—Bitcoin cash holdings have really accrued when you consider that Bitcoin cash forked from Bitcoin. in a similar fashion, the Ethereum classic currency became all of a sudden accrued put up-divergence and continues to be so."

And it’s no longer just Day who has been using the cryptocurrency statistics units. to this point, the biggest group of users are coming from inside Google itself. In March 2017 Google purchased statistics science collaboration startup Kaggle for an undisclosed quantity. Comprising a community of records scientists, including Day, Kaggle is now hosting greater than 500 bitcoin projects and sixteen ethereum projects, a lot of which can be for educational functions. tasks include Day’s personal effort to song the bitcoin transactions of the ten,000-bitcoin pizza buy greatly believed to be the first ever use of bitcoin to purchase goods, and some early work to calculate the Gini coefficient for ethereum.

“We noticed a extremely warm reception from that group,” says Day.

Such successes are giving Day a cult following of sorts. In December 2018 Day met Tomasz Kolinko, a pc scientist and creator of the Eveem software for inspecting code, referred to as wise contracts, designed to transparently and immutably execute any variety of tasks. both have been attending the EthSingapore hackathon when Kolinko expressed his frustration at having to stay up for hours to get consequences from a few of his searches.

inside a month of the two meeting, Kolinko posted the outcomes of his analysis the usage of BigQuery, showing the advantage benefits and risks of placing such equipment within the palms of the general public. Kolinko used the Google BigQuery ethereum dataset to look for a sensible contract characteristic called a “selfdestruct” designed to limit how long a contract can also be used. In 23 seconds he changed into in a position to search 1.2 million smart contracts and located that just about seven-hundred of them had left open a selfdestruct characteristic that could let anybody straight kill the wise contract, inspite of who might possibly be using it. “The scary part is,” noted Kolinko, “if there's a new vulnerability, in the past you couldn’t simply with no trouble examine all of the contracts that have been using it.”

That equal month Day reached out to engineer Will rate, whose work the usage of Google BigQuery to classify the 40,000 richest ethereum addresses with 25 criteria he had seen online. the use of the basic search tools up to now made available, rate recognized ten distinct patterns for the way ethereum addresses are being used, however turned into handiest in a position to classify three of them into what he called “archetypes”: exchanges, miners and preliminary coin offering (ICO) wallets. “The other archetypes are just as valid,” says rate, who's now listed as a member of the developer group. "but I don't have satisfactory counsel to claim what they're.”

more and more, it’s not just cryptocurrency records units loaded by way of Day that are getting used on Google BigQuery. In November 2018 independent Dutch developer Wietse Wind followed Day’s lead and uploaded his own information set, and in a similar fashion gave it away to the open supply community. most desirable frequent for constructing the XRP Tip Bot, which has 5,500 active clients. Wind invested $20,000 to purchase two of his own “bare metallic machines”—meaning he is not the usage of cloud for this work—and helps validate data about XRP transactions. Then, in November, he loaded that information to Google BigQuery; he continually updates it for public use.

In what is perhaps probably the most visually superb uses of Google BigQuery to analyze cryptocurrency information, graphic designer Thomas Silkjaer exported Wind’s information to a special graphical database, referred to as Neo4J, that visually renders records in ways in which make patterns greater apparent. by means of merging his potential as a picture fashion designer for Bibles with Wind’s data, Silkjaer offers a glimpse of what's possible. His graphs show essential transactions between wallets but supply what's most likely essentially the most memorable solutions to the question, what's a blockchain?

“You now have public access to view all transactions on a charge community,” spoke of Silkjaer, “we now have certainly not had that earlier than with banks, as a result of every financial institution is secretive.” Silkjaer is now working to categorise the transaction clusters into classes and visually paint a picture of which addresses are being used for buying and selling, for making purchases, or for sending collateral to loan providers. Day sees Silkjaer’s work as an instance of issues to return. “that's what i am actively working on presently,” he provides. “Getting the records purchasable in graph information constructions to enable these styles of queries.”

whereas Day’s job as Google Cloud developer advocate puts him in a distinct position to build bridges between the quest large and developers, he is not on my own in his blockchain interest at the enterprise. Going again to at least to September 2016, Google has reportedly filed more than 20 patents for blockchain-linked technology, including one in 2018 for the usage of a “lattice” of interoperating blockchains to raise security. among Google’s earliest forays into blockchain have been a few high-profile strategic investments, including Blockchain Inc., Ripple, and Veem.

Then, in July 2018, Google printed it would be helping building internally using the ethereum blockchain and Hyperledger textile and that it had formally partnered with economic infrastructure issuer Digital Asset, which counts the Australian Securities change (ASX) amongst its shoppers, and business ethereum app developer BlockApps, which turned into an early partner with Microsoft, and recently begun working with Amazon web functions and red Hat, now owned with the aid of IBM.

BlockApps CEO Kieren James-Lubin says that whereas Google turned into noticeably late to publicly commit components to blockchain, the business will improvement from looking at from the sidelines as the cryptocurrency market collapsed in 2018. To assist make up for that lost time James-Kiernen says his team is working “within the trenches” with Google to assist their sales and pre-revenue groups keep in mind the price proposition of enterprise ethereum functions.

meanwhile, Google has amped up its presence in the world experience area, internet hosting a number of private routine that on the other hand attracted standing room only audiences. In August 2018, Aya Miyaguchi, the president of the Ethereum foundation, joined Day and others on stage at Google’s Asia headquarters in Singapore and discussed how Day’s work might be used to assist businesses make enhanced choices about how shoppers are using—or not using—their crypto products.

“Allen's work helps by using proposing public facts units for businesses or items to make selections for their implementations,” says Miyaguchi. In December, Google hosted its first blockchain on Google Cloud adventure in big apple city, with startups on stage together with companions BlockApps and Digital Asset in addition to commercial enterprise blockchain developer Blockdaemon and ethereum investor ConsenSys Ventures. at the subsequent Google Cloud next adventure in April 2019 accomplice Digital Asset plans to show a few new tendencies concerning the partnership.

As for Allen, he’s working to place together a money prize for a contest to use Google BigQuery to calculate cryptocurrency Gini coefficients around the globe, and is carrying on with his work the usage of BigQuery ML to are looking for out new artificial intelligence in blockchain records, and attempting to determine what exactly those seemingly coordinated robots are basically as much as? 

“here's the everyday style that you will be see going ahead,” says Day, referring to essentially the most sophisticated forms of search. “The neighborhood that i am constructing around here's normally machine researching individuals, and they're pondering every kind of different stuff, and it be gonna start popping out.”

Be among the many first to get essential crypto and blockchain news and assistance with Forbes Crypto personal. sign up without charge now.


25 Years of IBM’s OS/2: The extraordinary Days and incredible Afterlife of a Legendary working equipment | killexams.com Real Questions and Pass4sure dumps

Bill Gates

computer World

The July 1987 situation of computing device World journal featured a centerfold (!) of Microsoft CEO bill Gates proudly sporting an OS/2 button

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    It changed into probably the most ambitious laptop-product bulletins in heritage. On April 2, 1987, at twin press conferences in long island and Miami, IBM unveiled its plans to reinvent the computer industry, which it had jump-begun less than six years past with the introduction of the first IBM pc. The company added 4 new computers dubbed the PS/2 line, together with an $11,000 mannequin that it referred to changed into seven times faster than present models. the new products were rife with superior points, together with 32-bit processors, fancy photographs, three.5-in. challenging-shell floppy-disk drives and optical storage.

    And the brand new hardware was accompanied with the aid of a subsequent-technology working device, OS/2. Co-developed via IBM and Microsoft, it changed into meant to replace DOS, the getting older application that then powered lots of the planet’s microcomputers.

    It never did. as an alternative, Microsoft’s windows reinvigorated DOS, helping end IBM’s control of the laptop regular it had created. with the aid of the mid-1990s, IBM had given up on OS/2 — an immense step in the company’s gradual-action retreat from the computing device trade, which it accomplished in 2005 via agreeing to promote its computing device division to China’s Lenovo.

    but while OS/2 under no circumstances truly caught on, it’s also in no way long past away. despite the fact that you agree with that you by no means noticed it in action, there’s a decent probability that you unwittingly come across it on occasion. extra on that later.

    lower back in 1987, the possibility that the realm may courteously refuse to do as IBM instructed would have appeared unbelievable. Apple’s iconic “1984” tv commercial, which showed IBM consumers as a military of unquestioning drones, become myth — however delusion in accordance with a definite degree of fact. nobody, it turned into famously pointed out, changed into ever fired for purchasing IBM. Yet OS/2 become an IBM product that the market, in conventional, selected now not to purchase.

    When it turned into introduced, besides the fact that children, the want appeared obvious, and its skills appeared to be big. Tech creator Esther Schindler remembers:

    I happened to be working at [leading software developer] Lotus as a contractor 25 years in the past, on the day OS/2 1.0 turned into announced. a couple of guys had been locked in a room within the basement with a couple of PS/2s and OS/2 1.0 … and emerged to show up the fantastic capabilities of the new hardware.

    OS/2 promised multitasking, no longer just task switching. It knew how to deal with memory … It did a heck of lots of cool issues … I don’t suppose it’s convenient for young whippersnappers to hold close how large a deal the PS/2 and OS/2 were at the time. We have been certain, fully certain, that nothing would be the equal again. The closest i will come to it was the response after the primary iPhone turned into launched: the sense that It’s all distinctive now.

    because it seems, the PS/2 and OS/2 1.0 didn’t have the impact all and sundry anticipated … but we idea they'd.

    OS/2 felt so essential firstly as a result of DOS was nevertheless a gussied-up edition of the rickety 16-bit application that Microsoft had licensed in 1980 for $10,000 from a tiny business referred to as Seattle computer products. windows, which first seemed in 1985, sat atop DOS and inherited its many flaws, such because the inability to utilize colossal quantities of reminiscence and an eight-persona restrict on file names. The whole mess couldn’t make the most of memory accurately and became liable to generic crashes. It changed into begging to get replaced.

    Vaporous Beginnings

    Of course, OS/2 couldn’t start to replace anything except it shipped. And like many a expertise product before and after, it remained vaporware for months after being announced. on the April 1987 launch, IBM mentioned it supposed to release the utility in 1988, so when it accomplished the primary version in December 1987, it acquired to claim that OS/2 1.0 had shipped ahead of agenda.

    OS/2 1.3.1

    GUIdebook

    however OS/2 stayed vaporous and incomplete for years after that. the first version let you use DOS-trend instructions corresponding to DIR and replica but had no mouse-driven, graphical user interface; that didn’t exhibit up except edition 1.1 regarded in October 1988.

    by using November 1989, fewer than 200,000 copies of OS/2 had been offered, in part because it changed into a ways too aid-hungry to run on most existing computer systems. It needed a bare minimal of 4 megabytes of reminiscence to run effectively in an era when it wasn’t a when you consider that PCs had even 1 megabyte. computing device World journal later pointed out the application’s “gargantuan measurement” and “lethargy.”

    “[E]ven the recent 1.2 unencumber is simply too buggy for frequent use,” carped pc World‘s Robert Lauriston within the February 1990 difficulty. “subsequently, it’s little used apart from with the aid of utility builders, and big organisations with on-body of workers programmers.”

    meanwhile, Microsoft changed into two-timing the working equipment it had co-created. In may 1990, it launched windows three.0, the primary edition that became form of good. in terms of technical underpinnings, it remained creaky, nevertheless it gave garden-range PCs the equal sort of Mac-like pretty entrance conclusion that OS/2 aspired to bring. consumers and corporations embraced home windows by means of the millions, immediately turning it from an obvious dud right into a blockbuster. each computing device maker in the industry except IBM soon standardized on it.

    With home windows all at once flourishing, Microsoft decided it didn’t need to share the future of working methods with any one else. It now not best begun to sever ties with IBM however also argued that OS/2 become, in senior vp of techniques utility Steve Ballmer’s cheery phrases, “a useless end.” The software that became in the beginning speculated to be OS/2 3.0 morphed into home windows NT, the modernized edition of home windows that each windows XP and home windows 7 eventually descended from.

    OS/2 2.0 Box

    Wikipedia

    IBM soldiered on through itself, releasing OS/2 2.0 in April 1992, five years after the usual OS/2 announcement. It became the first edition that gave the impression less like an test and extra like a completely realized industrial product.

    unlike Microsoft’s windows 3.1, OS/2 2.0 was a (usually) 32-bit piece of application, able to harnessing the complete computing vigour of PCs that used 386 and 486 processors. It may without difficulty and safely multitask OS/2 courses, windows classes and DOS programs; IBM marketed it heavily as “an improved windows than home windows,” a declare that had some merit. greater than 250 agencies declared their intention to convey OS/2 apps, including biggies akin to Lotus, WordPerfect, Borland and Novell.

    “returned from the dead?” wrote laptop World‘s Anita Amirrezvani within the July 1992 challenge. “not fairly, however OS/2 has made an sudden comeback.” She talked about that enterprise forms had been giving version 2.0 consideration. however she also stated home windows’ advantages and stated that OS/2 obligatory a fast 386 laptop with 6 MB of memory and 15 MB to 30 MB of complicated-disk space — daunting hardware necessities on the time.

    OS/2 review

    PCWorld

    The new version helped OS/2’s possibilities, at least a little: in October, IBM talked about it had shipped 1.7 million copies, more than all the previous OS/2 models put collectively.

    In may 1993, IBM launched OS/2 2.1; like 2.0 before it, it become greeted as the edition of OS/2 that may end the working system’s underdog reputation. IBM’s John Patrick advised workstation World that even windows devotees would switch to OS/2, given that it multitasked enhanced and crashed much less.

    A 1993 episode of public television sequence The laptop Chronicles had a skeptical-sounding title — “something took place to OS/2?” — however offered a generally upbeat replace on 2.1’s possibilities:

    nevertheless, any evidence that OS/2 turned into succeeding tended to appear puny in the shadow of the overwhelming success of home windows. lots of the application businesses that had pledged their support to IBM redeployed their energies to the vastly bigger windows market. In a circulate that changed into both symbolic and practical, a journal that had began out with the name OS/2 modified its name to OS/2 and home windows. after which to windows and OS/2. after which, inevitably, to windows.

    Getting Warped

    OS/2 3.0, released in November 1994, become dubbed OS/2 Warp — part of a concerted effort on IBM’s part to make the working device look much less nerdy and extra hip and customer-friendly.

    It even advertised the product on tv. here’s a commercial that tries to explain OS/2 to non-nerds (it appears like the spot gives up midway via). at the conclusion, it without problems says OS/2 is “a totally cool strategy to run your computer,” which is both vague and patronizing.

    Warp included features, like the capacity to tweak any object’s settings with the aid of correct-clicking it, that might show up in home windows years later. Microsoft’s massive home windows upgrade — code-named “Chicago” and eventually launched as home windows 95 — turned into still vaporware, and IBM and OS/2 fans hoped that its persevered absence could lead home windows to seem to be in different places. One OS/2 aficionado, Charles Forsythe, composed a generally circulated satirical press release that had Microsoft providing to put home windows clients into cryogenic suspension unless windows 95 was released. (He occurs to be a high college friend with whom I spent countless hours futzing around with computers, before both windows or OS/2 existed.)

    “Like anything else that became in many ways ahead of its time,” Forsythe remembers, OS/2 “neglected some points that appear obvious now. doubtless its biggest weak spot became one no person definitely seen at the time: it changed into a single-person operating system at a time when networking became about to make it definitely important to understand who or what is doing this? nowadays even client OSes reminiscent of OS X and home windows 7 make a transparent distinction between typical and administrative users — even in circumstances where a computer simplest has one exact grownup who uses it.”


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    New TLS encryption-busting attack also impacts the newer TLS 1.3 | killexams.com real questions and Pass4sure dumps

    TLS 1.3

    A team of academics has revealed a new cryptographic attack this week that can break encrypted TLS traffic, allowing attackers to intercept and steal data previously considered safe & secure.

    This new downgrade attack --which doesn't have a fancy name like most cryptography attacks tend to have-- works even against the latest version of the TLS protocol, TLS 1.3, released last spring and considered to be secure.

    The new cryptographic attack isn't new, per-se. It's yet another variation of the original Bleichenbacher oracle attack.

    The original attack was named after Swiss cryptographer Daniel Bleichenbacher, who in 1998 demonstrated a first practical attack against systems using RSA encryption in concert with the PKCS#1 v1 encoding function.

    Over the years, cryptographers have come up with variations on the original attack, such as in 2003, 2012, 2012, 2014, 2014, 2014, 2015, 2016 (DROWN), 2017 (ROBOT), and 2018.

    The reason for all these attack variations is because the authors of the TLS encryption protocol decided to add countermeasures to make attempts to guess the RSA decryption key harder, instead of replacing the insecure RSA algorithm.

    These countermeasures have been defined in Section 7.4.7.1 of the TLS standard (RFC 5246), which many hardware and software vendors across the years have misinterpreted or failed to follow to the letter of the law.

    These failure in regards to implementing proper mitigations has resulted in many TLS-capable servers, routers, firewalls, VPNs, and coding libraries still being vulnerable to Bleichenbacher attack variations, which found and exploited problems in the incorrect mitigation procedures.

    The latest Bleichenbacher attack variations was described in a technical paper published on Wednesday, this week, and entitled "The 9 Lives of Bleichenbacher's CAT: New Cache ATtacks on TLS Implementations."

    Seven researchers from all over the world found --yet again-- another way to break RSA PKCS#1 v1.5, the most common RSA configuration used to encrypt TLS connections nowadays. Besides TLS, this new Bleichenbacher attack also works against Google's new QUIC encryption protocol as well.

    "The attack leverages a side-channel leak via cache access timings of these implementations in order to break the RSA key exchanges of TLS implementations," researchers said.

    Even the newer version of the TLS 1.3 protocol, where RSA usage has been kept to a minimum, can be downgraded in some scenarios to TLS 1.2, where the new Bleichenbacher attack variation works.

    "We tested nine different TLS implementations against cache attacks and seven were found to be vulnerable: OpenSSL, Amazon s2n, MbedTLS, Apple CoreTLS, Mozilla NSS, WolfSSL, and GnuTLS," researchers said.

    Updated versions of all the affected libraries were published concurrently in November 2018, when researchers published an initial draft of their research paper.

    For more details, the following CVE identifiers have been assigned to the security bugs enabling this new Bleichenbacher attack: CVE-2018-12404, CVE-2018-19608, CVE-2018-16868, CVE-2018-16869, and CVE-2018-16870.

    The two libraries that were not vulnerable were BearSSL and Google's BoringSSL.

    Related security coverage:

    New Version of HLN's Award Winning Open Source Immunization Forecaster Released | killexams.com real questions and Pass4sure dumps

    (MENAFN - PRLog) Innovative open source software, originally developed for public health, is freely available to EHR and PHR systems to support clinical decision support for immunizations. 1 2 3 4 5 ..... Sample ICE Patient Evaluation and Forecast NVPO UpShot Award HLN's Mike Suralik Accepts NVPO Upshot Award HIMSS19 PALM DESERT, Calif. - Feb. 5, 2019 - PRLog -- On February 1, 2019, HLN released a new version (v1.15.1) of the Immunization Calculation Engine (ICE). ICE is a state-of-the-art open-source software system that provides clinical decision support for immunizations for use in Immunization Information Systems (IIS), Electronic Health Record (EHR) and Personal Health Record (PHR) Systems.

    This version includes a new 2-dose Adult Series in the Hep B vaccine group with support for the HEPLISAV-B vaccine and logic updates and fixes to the Meningococcal B , HPV , Influenza , Polio and DTP vaccine groups. A revised ICE Implementation Guide ( v3r1 ; and v3r1 with changes highlighted since version 1.14.1 ). The tracked changes are intended to make it easier for the reader to see what has changed in the Guide since the prior release of the ICE.

    The full software release is available for download at https://cdsframework.atlassian.net/wiki/display/ICE/Downloads.

    The Immunization Calculation Engine, or ICE, is a fully configurable vaccine forecasting/decision support web service tool. Making patient-specific vaccine decisions based on US Government American Council on Immunization Practices (ACIP) clinical recommendations is a very complex task. It requires translating ACIP recommendations - the detailed rules that examine a patient's immunization history and determine if all vaccinations are valid, and what vaccinations might be missing - into computable language for clinical decision support. ICE evaluates a patient's immunization history and generates the appropriate immunization recommendations for the patient. These recommendations are communicated to the clinician at the point of care, as well as the patient, health department or other users.

    Among the many useful and advanced features of ICE is that it includes a Clinical Decision Support Administration Tool. This tool enables subject matter experts to manage ICE rules and configuration without the need for software developers. In addition, ICE has maximum flexibility for supporting multiple schedules (for instance a clinical schedule and a school-compliance schedule), a robust testing tool, and can support implementation at any scale. ICE began as a component of public health Immunization Information Systems which gather and consolidate immunization information within a jurisdiction for public health surveillance and clinical support.

    In developing ICE, HLN worked with the New York City Citywide Immunization Registry (CIR), the Alabama Department of Public Health, and the OpenCDS collaboration which is led by researchers at the University of Utah, Department of Biomedical Informatics. ICE is now in use, or being configured for use, by several governmental Immunization Information Systems (including NJIIS), electronic health record (EHR) systems (including eClinicalWorks), and the CareDox personal health record. Other EHRs, personal health record (PHR) systems, and Health Information Exchanges (HIEs) can be easily adapted to incorporate ICE logic and clinical decision support into their systems.

    HLN will be demonstrating ICE integrated into two EHRs at the HIMSS19 Interoperability Showcase starting on February 12 in Orlando, FL. See the feature article about ICE in Open Health News .

    Please feel free to e-mail if you have any questions.

    About HLN

    For more than twenty years HLN has been a leading public health informatics consulting company focused on developing and supporting robust technical solutions addressing pressing public health needs. HLN is dedicated to the development, improvement, promulgation, and use of Open Source solutions in health information technology. Much of our Open Source work is focused on clinical decision support (CDS) applications built using OpenCDS, an open source clinical decision support platform, including our Immunization Calculation Engine (ICE) and Reportable Condition Knowledge Management System (RCKMS) which is supporting the national strategy of electronic case reporting to public health. RCKMS is being funded by the Centers for Disease Control and Prevention (CDC) through the Council of State and Territorial Epidemiologists (CSTE) and deployed centrally to determine if a patient's symptoms and conditions require reporting to one or more public health jurisdictions.

    More information on HLN Consulting and its open source products can be found at https://www.hln.com.

    Media ContactNoam H. Arzt, PhD

    858-538-2220

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    New Version of HLN's Award Winning Open Source Immunization Forecaster Released

    A Technical Breakdown Of Google's New Blockchain Search Tools | killexams.com real questions and Pass4sure dumps

    Image used as part of the official announcement.Google Cloud

    Google is now in the blockchain search business. Less than a day after Forbes broke the story that the internet search giant would be launching a suite of tools built by, and for, open source developers, those tools are live.

    In addition to loading data sets for all the transactions and metadata in eight cryptocurrencies, including bitcoin and ethereum, Google Cloud developer advocate Allen Day and his team of open source developers from around the world are launching a number of tools designed to do to blockchain, what Google search did to the internet.

    “I'm very interested to quantify what's happening so that we can see where the real legitimate use cases are for blockchain,” said Day, who manages the cloud portion of the project. "So people can acknowledge that and then we can move to the next use case and develop out what these technologies are really appropriate for.”

    Last year Day and lead developer Evgeny Medvedev discreetly loaded transaction data for the bitcoin and ethereum blockchains, along with some basic search tools, to Google's BigQuery data analytics platform and have been studying how developers are using the software. As of today, they're taking what they've learned and making data sets available for bitcoin cash, ethereum classic, litecoin, zcash, dogecoin and dash, along with an expanded suite of search tools.

    Dubbed Blockchain ETL (extract, transform, load), the software, which was created by independent developer Medvedev with support from the rest the team, includes features such as integration with Google’s BigQuery ML (machine learning) tool, which was launched into a test, or “beta” version last year. By searching for patterns in transaction flows, the machine learning integration will automatically give the user basic information about how a cryptocurrency address is being used.

    For example, the tool might be used to analyze transaction flows to determine whether an address is holding funds for a cryptocurrency mining pool, in which users contribute unused computer power to audit blockchain transactions in exchange for cryptocurrency. In the future, the BigQuery ML integration could also identify cryptocurrency addresses owned by a single entity, for example an exchange, and condense those addresses into a single data point, simplifying comparisons.

    Also included in the launch, the blockchain data sets have been standardized into what Day calls a "unified schema," meaning the data is structured in a uniform, easy-to-access way. By ensuring this level of consistency across data sets, Day hopes to make it easier for data scientists, auditors, and investigators to make comparative statements about transactions in the supported blockchains. “And others going forward will use the same architecture,” Day adds. 

    Another new search feature is what Day calls a “double entry book view,” designed to simplify the way users can search for the cumulative balance of an account over a particular time, accurate to the eight decimal places, which is the smallest possible bitcoin denomination, called a satoshi, named after the cryptocurrency’s pseudonymous inventor.

    Data sets that fall into what is called the “Satoshi family,” meaning they structurally resemble bitcoin, will be searchable by two criteria: block and transactions. Whereas support for the ethereum and ethereum classic blockchains, with their more complicated smart contract functionality, includes five additional tables designed to enable more sophisticated searches.

    The first terabyte of inquiries for these and other data sets are free each month, with additional fees charged per byte or a flat $40,000 monthly rate for high-volume users. Amazon, Google’s biggest cloud computing competitor, entered blockchain last year in a big way, and fellow cloud leader Microsoft is now considered a seasoned veteran of the burgeoning space. As startups like Storj and Perlin aim to use cryptocurrency as a way to incentivize users to adopt their decentralized versions of cloud computing, Day says the industry, expected to reach $411 billion next year, is primed to experience a blockchain renaissance.

    “Some people are more theoretical, and the importance of their work becomes fully manifested decades after they’re dead,” says Day. “I guess I’m just more interested in seeing things play out in front of me, as opposed to doing anything deeply theoretical.”

    To incentivize as much participation as possible, Medvedev and Day have partnered with the nonprofit Ethereum Community Fund, which is in turn offering cryptocurrency rewards to developers who find and fix bugs in the code. “There are around ten core contributors that helped implement various components of the system,” says Medvedev, who leads the developers and was previously the lead data engineer at cryptocurrency intelligence firm Coinfi. “They are spread around the globe: some live in Russia, others in Singapore or China.”

    Perhaps unsurprisingly, Day’s role as customer zero means his interest in helping create the blockchain search features goes beyond theory. He believes the tools will enable more advanced econometric calculations including the Gini coefficient, which measures the distribution of wealth in a given system, and could eventually be used to understand which nations are using the cryptocurrency. While blockchain data doesn’t natively include information about where a transaction occurs, Day is personally exploring how BigQuery ML might be leveraged to reveal transaction locations.

    “This is not some kind of dependency on government agency reporting,” says Day. “We have all the data, and we can pull metrics and and look at them and reason about them over time.”  

    To show how Blockchain ETL could result in improvements to the cryptocurrency economy, Day is also using the suite of tools to examine a number of cryptocurrencies, most notably bitcoin cash and ethereum classic. While both the cryptocurrencies resulted from a dispute about how to enable smaller, cheaper transactions, Day found, according to the report published today, that the cryptocurrencies are being hoarded in much the same way as their predecessors.

    From the report:

    "Bitcoin Cash was purportedly created to increase transfer-of-value use cases through lower transaction fees, which should ultimately lead to a lower Gini coefficient of address balances. However, we see that the opposite is true—Bitcoin Cash holdings have actually accumulated since Bitcoin Cash forked from Bitcoin. Similarly, the Ethereum Classic currency was rapidly accumulated post-divergence and remains so."

    And it’s not just Day who has been using the cryptocurrency data sets. So far, the largest group of users are coming from within Google itself. In March 2017 Google purchased data science collaboration startup Kaggle for an undisclosed amount. Comprising a community of data scientists, including Day, Kaggle is now hosting more than 500 bitcoin projects and 16 ethereum projects, many of which are for educational purposes. Projects include Day’s own effort to track the bitcoin transactions of the 10,000-bitcoin pizza purchase widely believed to be the first ever use of bitcoin to buy goods, and some early work to calculate the Gini coefficient for ethereum.

    “We saw a very warm reception from that community,” says Day.

    Such successes are giving Day a cult following of sorts. In December 2018 Day met Tomasz Kolinko, a computer scientist and creator of the Eveem software for analyzing code, called smart contracts, designed to transparently and immutably execute any number of tasks. The two were attending the EthSingapore hackathon when Kolinko expressed his frustration at having to wait for hours to get results from some of his searches.

    Within a month of the two meeting, Kolinko published the results of his analysis using BigQuery, showing the potential benefits and dangers of putting such tools in the hands of the public. Kolinko used the Google BigQuery ethereum dataset to look for a smart contract feature called a “selfdestruct” designed to limit how long a contract can be used. In 23 seconds he was able to search 1.2 million smart contracts and found that almost 700 of them had left open a selfdestruct feature that would let anyone instantly kill the smart contract, regardless of who might be using it. “The scary part is,” said Kolinko, “if there is a new vulnerability, in the past you couldn’t just easily check all the contracts that were using it.”

    That same month Day reached out to engineer Will Price, whose work using Google BigQuery to classify the 40,000 richest ethereum addresses with 25 criteria he had seen online. Using the basic search tools previously made available, Price identified ten distinct patterns for how ethereum addresses are being used, but was only able to classify three of them into what he called “archetypes”: exchanges, miners and initial coin offering (ICO) wallets. “The other archetypes are just as valid,” says Price, who is now listed as a member of the developer team. "But I don't have enough information to say what they are.”

    Increasingly, it’s not just cryptocurrency data sets loaded by Day that are being used on Google BigQuery. In November 2018 independent Dutch developer Wietse Wind followed Day’s lead and uploaded his own data set, and similarly gave it away to the open source community. Best known for building the XRP Tip Bot, which has 5,500 active users. Wind invested $20,000 to buy two of his own “bare metal machines”—meaning he's not using cloud for this work—and helps validate data about XRP transactions. Then, in November, he loaded that data to Google BigQuery; he regularly updates it for public use.

    In what is perhaps one of the most visually striking uses of Google BigQuery to analyze cryptocurrency data, graphic designer Thomas Silkjaer exported Wind’s data to a special graphical database, called Neo4J, that visually renders data in ways that make patterns more apparent. By merging his skills as a graphic designer for Bibles with Wind’s data, Silkjaer gives a glimpse of what is possible. His graphs show simple transactions between wallets but give what is perhaps the most memorable answers to the question, what is a blockchain?

    “You now have public access to view all transactions on a payment network,” said Silkjaer, “We have never had that before with banks, because each bank is secretive.” Silkjaer is now working to classify the transaction clusters into categories and visually paint a picture of which addresses are being used for trading, for making purchases, or for sending collateral to loan providers. Day sees Silkjaer’s work as an example of things to come. “That's what I'm actively working on right now,” he adds. “Getting the data available in graph data structures to enable those types of queries.”

    While Day’s job as Google Cloud developer advocate puts him in a unique position to build bridges between the search giant and developers, he is not alone in his blockchain interest at the company. Going back to at least to September 2016, Google has reportedly filed more than 20 patents for blockchain-related technology, including one in 2018 for using a “lattice” of interoperating blockchains to increase security. Among Google’s earliest forays into blockchain were a number of high-profile strategic investments, including Blockchain Inc., Ripple, and Veem.

    Then, in July 2018, Google revealed it would be supporting development internally using the ethereum blockchain and Hyperledger Fabric and that it had formally partnered with financial infrastructure provider Digital Asset, which counts the Australian Securities Exchange (ASX) among its customers, and enterprise ethereum app developer BlockApps, which was an early partner with Microsoft, and recently started working with Amazon Web Services and Red Hat, now owned by IBM.

    BlockApps CEO Kieren James-Lubin says that while Google was relatively late to publicly commit resources to blockchain, the company will benefit from watching from the sidelines as the cryptocurrency market collapsed in 2018. To help make up for that lost time James-Kiernen says his team is working “in the trenches” with Google to help their sales and pre-sales teams understand the value proposition of enterprise ethereum applications.

    In the meantime, Google has amped up its presence in the global event space, hosting a number of private events that nonetheless attracted standing room only audiences. In August 2018, Aya Miyaguchi, the president of the Ethereum Foundation, joined Day and others on stage at Google’s Asia headquarters in Singapore and discussed how Day’s work might be used to help businesses make better decisions about how customers are using—or not using—their crypto products.

    “Allen's work helps by providing public data sets for businesses or products to make decisions for their implementations,” says Miyaguchi. In December, Google hosted its first blockchain on Google Cloud event in New York City, with startups on stage including partners BlockApps and Digital Asset as well as enterprise blockchain developer Blockdaemon and ethereum investor ConsenSys Ventures. At the next Google Cloud NEXT event in April 2019 partner Digital Asset plans to reveal a number of new developments related to the partnership.

    As for Allen, he’s working to put together a cash prize for a contest to use Google BigQuery to calculate cryptocurrency Gini coefficients around the world, and is continuing his work using BigQuery ML to seek out new artificial intelligence in blockchain data, and trying to identify what exactly those seemingly coordinated robots are actually up to? 

    “This is the general trend that you're going to be see going forward,” says Day, referring to the most sophisticated forms of search. “The community that I'm building around this is mostly machine learning people, and they're thinking about all kinds of other stuff, and it's gonna start coming out.”

    Be among the first to get important crypto and blockchain news and information with Forbes Crypto Confidential. Sign up for free now.



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