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HH0-250 - Hitachi Data Systems Implementer File(R) Services-NAS - Dump Information

Vendor : Hitachi
Exam Code : HH0-250
Exam Name : Hitachi Data Systems Implementer File(R) Services-NAS
Questions and Answers : 120 Q & A
Updated On : April 19, 2019
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HH0-250 Questions and Answers

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HH0-250 Hitachi Data Systems Implementer File(R) Services-NAS

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HH0-250 exam Dumps Source : Hitachi Data Systems Implementer File(R) Services-NAS

Test Code : HH0-250
Test Name : Hitachi Data Systems Implementer File(R) Services-NAS
Vendor Name : Hitachi
Q&A : 120 Real Questions

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Hitachi Hitachi Data Systems Implementer

Hitachi facts methods pronounces unique Archive, Backup and Consolidation solution Incentives for TrueNorth partners | killexams.com Real Questions and Pass4sure dumps

SANTA CLARA, CA, Dec 05, 2013 (Marketwired via COMTEX) -- Hitachi records methods employer, a wholly owned subsidiary of Hitachi, Ltd. , today announced endured commitment to its TrueNorth companions through extending its accelerator program on new Archive, Backup and Consolidation (ABC) answer deals. The international application now presents unique accomplice rewards for incremental offers that align with Hitachi records techniques strategic statistics management and cloud storage options.

The ABC Accelerator program rewards TrueNorth associate sales representatives and engineers who complete the new ABC solution learning route and shut earnings transactions. Hitachi statistics programs additionally offers incentives to accomplice knowledgeable service engineers who achieve Hitachi NAS Platform and/or Hitachi content Platform Implementer Certification.

"The world Hitachi TrueNorth associate application performs a vital position in our go-to-market strategy, and we are able to continue to invest in programs that deliver guide, incentives and rewards to our companions while increasing their earnings profitability. Our strong portfolio of solutions solves vital IT ache points and makes it possible for our partners to compete improved and grow their businesses. With many partners across three geographies already collaborating, we appear ahead to much more Hitachi TrueNorth companions benefitting from the ABC Accelerator software." - Neil Colstad, vice president, global partners and Alliances, Hitachi statistics systems

The more desirable application builds upon a collection of enormous partner program enhancements announced previous this 12 months, together with training, scholarship alternatives and extra incentives. Updates encompass:

-- prepare simply With the Hitachi TrueNorth Scholarship program: New Archive, Backup and Consolidation lessons, in addition to many extra courses in file and content options and implementation working towards, can be found via HDS Academy. certified companions get hold of this training at no can charge. -- boost revenue through the use of the Hitachi TrueNorth companion Demo center: partners use the potent aggregate of on-line product overviews of key answer applied sciences and schedule hosted live demonstrations of solution capabilities. The associate Demo center is accessible to Hitachi TrueNorth partners 24/7 around the world to improved healthy their consumers' schedules. -- Earn stronger gains and lengthen consumer Engagement With the Hitachi TrueNorth Specialization software: companions drawn to presenting gold standard-in-classification Archive, Backup and Consolidation capabilities to their consumers can take full knowledge of recent enhancements. Specialization software contributors worldwide have actual-time, 24/7 entry to the knowledgeable degree tools, most appropriate practices, and associated manuals and implementation substances. -- Get further Rewards From industry-leading accomplice Incentives: partners earn competency-based mostly rebates from really expert earnings, start and integration potential aiding the ABC Accelerator application.

aiding TrueNorth accomplice costs

-- Mainline guidance systems: "Our partnership with Hitachi data programs allows for us to deliver to market creative solutions whereas meeting client needs round Archive, Backup and Consolidation options in a value-advantageous way. the new incentives in the ABC Accelerator application provide the aggregate of capabilities and performance-primarily based rewards and access/publicity to practising in an effort to help us proceed to satisfy customer requirements, differentiate ourselves from the competition, and hold the profit stages to help endured growth. Mainline considers Hitachi to be the trade leader in file, content and archival options." - Bob Elliot, vp, Storage solutions -- PQR: "As information volumes increase, businesses these days need to have entry to flexible solutions that unencumber supplies and accomplish innovation. PQR has been working with Hitachi records systems to provide valued clientele with the enterprise agility and transformation they need. The ABC Accelerator application incentives for income, pre-earnings and service engineers, along with all different TrueNorth associate courses and incentives accessible to us, testify to the elevated center of attention and commitment to allow and reward companions." Baster Heurne - revenue supervisor -- Proact Latvia: "As an extended-time period partner of Hitachi facts systems we are excited about the recent product launches and releases that assist us deliver essentially the most chopping-side and within your budget options to our customers. We also take knowledge of the many incentives that are half of the TrueNorth accomplice program and the ABC Accelerator software is a notable strategy to reward our employees engaged in selling Archive, Backup and Consolidation options." - Dmitry Sharafutdinov, CEO -- South Asian applied sciences (Pvt) Ltd.: "At South Asian applied sciences Ltd. we're proud to deliver most useful-in-type information administration solutions to our customers and help them face their information increase challenges whereas slicing prices. by means of partnering with Hitachi information methods we've improved our portfolio and differentiated ourselves from competitors. we are proud to be a key accomplice of HDS in this enviornment in our vicinity, as smartly as the ABC Accelerator program." - Sanjaya Padmaperuma, CEO

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-- comply with us on Twitter -- join with us on LinkedIn -- Like us on fb

About Hitachi records methods Hitachi information programs provides tips technologies, functions and options that aid agencies increase IT expenses and agility, and innovate with tips to make a change on the planet. Our purchasers gain compelling return on investment (ROI), unmatched return on belongings (ROA), and demonstrable company impact. With about 6,300 employees global, Hitachi information programs does company in additional than one hundred nations and areas. Our items, features and options are trusted by means of the world's leading organizations, including greater than 70% of the Fortune one hundred and more than eighty% of the Fortune international a hundred. talk over with us at www.HDS.com.

About Hitachi, Ltd. Hitachi, Ltd. , headquartered in Tokyo, Japan, is a leading global electronics enterprise with approximately 326,000 employees worldwide. The company's consolidated revenues for fiscal 2012 (ended March 31, 2013) totaled 9,041 billion yen ($ninety six.1 billion). Hitachi is focusing more than ever on the Social Innovation company, which contains infrastructure systems, suggestions & telecommunication techniques, vigor methods, construction machinery, excessive purposeful material & accessories, car methods and others.For more suggestions on Hitachi, please discuss with the company's site at http://www.hitachi.com.

Copyright Hitachi facts systems employer 2013. All rights reserved. HITACHI is a trademark or registered trademark of Hitachi, Ltd. Innovate With information is a trademark or registered trademark of Hitachi facts systems employer. All different logos, service marks, and enterprise names are properties of their respective house owners.

Press Contacts: Hitachi facts methods Stefani Finch (408) 499-7349 email Contact Lois Paul & companions Brandi Ellerbee (512) 638-5327 email Contact

supply: Hitachi facts methods

(C) 2013 Marketwire L.P. All rights reserved.


Hitachi statistics methods Federal alterations identify | killexams.com Real Questions and Pass4sure dumps

RESTON, Va.--(business WIRE)--Hitachi information techniques Federal these days introduced it has modified its name to Hitachi Vantara Federal supplier. The identify amendment, which aligns to its parent company’s lately introduced name alternate to Hitachi Vantara, represents a new enterprise entity designed to unify the operations of Hitachi statistics systems, Hitachi insight group, and Pentaho. This mixture brings together the better of Hitachi’s tips technology and positions the enterprise to turn into an business chief in providing end-to-end functions in huge data, analytics and the information superhighway of things to both industrial and federal government industries.

Hitachi Vantara Federal has been a pacesetter in operational technology (OT) for the federal government via providing solutions which have positively impacted their missions to more suitable the lives of US residents. The business has also been a frontrunner in counsel know-how (IT) bringing IT functions, analytics, content material, cloud, and infrastructure solutions to corporations which have changed the style they do company. Combining its abilities in OT with its proven IT product improvements and solutions, Hitachi Vantara Federal gives govt clients a powerful, collaborative companion in information like no person else can within the industry.

“changing our identify is one more milestone in our enterprise transformation,” said David Turner, president and CEO, Hitachi Vantara Federal. “Our company is designed to leverage the breadth of innovation, construction and adventure from across the Hitachi group of agencies to deliver records-pushed solutions for federal government organizations. Our new name is a nod to our a success heritage in information management and infrastructure in virtualization and our a hit VSP platform. it is additionally a name that represents our method for future growth and giving our government clients a vantage element to uncover new predictive and prescriptive analytics to enrich company and efficiently meet their company’s missions.”

Hitachi Vantara Federal is uniquely in a position to aid executive purchasers extract all of the cost their information has to offer. by way of bringing new statistics-driven options and capabilities to market, Hitachi Vantara Federal will support its shoppers obtain tangible results that positively power company and society forward. The market chance for mission-vital records solutions has in no way been more desirable. records is becoming a federal company’s gold standard asset—in the event that they can extract actionable intelligence from it. statistics holds the important thing to new profits streams, improved consumer experiences, improved market insights and reduce fees of doing business. Hitachi Vantara Federal can now deliver a complete offering to its valued clientele that combines each OT and IT potential to uncover records’s genuine capabilities.

About Hitachi Vantara Federal

Hitachi Vantara Federal, organisation, implements statistics and analytics solutions that meet the federal government’s wants today and the next day. Hitachi Vantara Federal gives pathways to the cloud and converged IT programs through virtualization, storage and DCC to reduce IT complexity and raise the effectivity of the U.S. executive. Hitachi Vantara Federal is capable of present the optimal information and operation technology from throughout the Hitachi family to give extremely good price to executive groups. Hitachi Vantara Federal employer is headquartered in Reston, Virginia. For extra suggestions, please visit: www.hitachivantarafederal.com. follow Hitachi Vantara Federal on Twitter @HitachiVantaraFederal.

About Hitachi Vantara

Hitachi Vantara, a unconditionally owned subsidiary of Hitachi, Ltd., helps information-pushed leaders find and use the value of their data to innovate intelligently and reach results that be counted for company and society. We mix technology, intellectual property and trade knowledge to deliver information-managing solutions that help enterprises increase their consumers’ experiences, improve new profits streams, and decrease the charges of business. simplest Hitachi Vantara elevates your innovation competencies through combining deep assistance know-how (IT), operational expertise (OT) and area abilities. We work with corporations far and wide to pressure data to meaningful results. consult with us at www.HitachiVantara.com.

About Hitachi, Ltd.

Hitachi, Ltd. (TSE: 6501), headquartered in Tokyo, Japan, delivers improvements that answer society’s challenges. The company’s consolidated revenues for fiscal 2016 (ended March 31, 2017) totaled 9,162.2 billion yen ($81.8 billion). The Hitachi neighborhood is a worldwide chief in the Social Innovation enterprise, and it has about 304,000 employees global. through collaborative introduction, Hitachi is featuring solutions to clients in a wide range of sectors, including power / energy, trade / Distribution / Water, city construction, and Finance / government & Public / Healthcare. For greater suggestions on Hitachi, please visit the enterprise's web site at http://www.hitachi.com.

HITACHI is a trademark or registered trademark of Hitachi, Ltd. All different logos, provider marks, and company names are homes of their respective owners.


Hitachi records methods: Late but coming on strong | killexams.com Real Questions and Pass4sure dumps

Late, but approaching amazing

Hitachi facts methods is gunning for EMC Corp.

however Hitachi entered the market for storage enviornment networks after EMC had turn into dominant, the subsidiary of Japan's Hitachi Ltd. is making up for misplaced time.

probably the most tangible facts of Hitachi's upward thrust is the business it has stolen from EMC. The climate Channel cable tv community, as an instance, changed an EMC deployment with a 20-terabyte storage area community system featuring machine from Hitachi, says invoice Watson, supervisor of methods administration for the community.

"it be the fastest, sleekest, most scalable field in the marketplace," Watson says of the Hitachi system that manages the storage of pictures used within the weather stories the community prepares for media companions nationwide.

A growing popularity for reliability is helping Hitachi win more company. at the Human Genome assignment at Washington school in St. Louis, an air-conditioning breakdown within the information core in July 2000 brought about almost the entire machine there to close down, together with equipment made by using EMC. Hitachi's equipment, nevertheless, saved running, says systems manager Kelly carpenter.

Hitachi also has been the area of much less criticism than EMC on interoperability—one of the crucial SAN business's largest complications.

"Hitachi is greater willing to discover the edges, to admire or not it's a heterogeneous world," says Sheldon Meingarten, director of storage for Manulife monetary, a Toronto-based mostly fiscal features enterprise.

The possibility Hitachi runs is letting its center of attention on EMC (which has about three times Hitachi's market share) preserve it from capitalizing on alternatives to sell SANs to smaller groups. profit margins within the midsize market are slimmer, but profits boom should be most appropriate right here in the next few years.

For now, even though, massive agencies are not balking on the fee of Hitachi's SAN gadget.

"On provider, enlargement and uptime of Hitachi versus others, there basically isn't any assessment," says Selvin Hollingsworth of total techniques functions, a processor of bank card suggestions. "that you would be able to tell they may be in this for the long haul."

business tips

Hitachi statistics systems Corp. 750 primary limited-access highway, Santa Clara, CA 95050(408) 970-1000www.hds.comTicker: HIT alternate:NYSE employees: 2,600 in subsidiary (338,000 in business)

Shinjiro IwataChief executive OfficerA 30-yr veteran of Hitachi, he changed into named to the right submit nine months in the past. He held a couple of overseas positions through the years, and from 1997 to 2000 become vice chairman of the storage line of enterprise.

Dave RobersonPresident and Chief working OfficerA 20-12 months employee of Hitachi records techniques, Roberson is credited with altering the company from a hardware maker to a "solutions provider."

Jim DavidsonExecutive vp and widely wide-spread ManagerHolds profit and loss responsibility for Hitachi statistics programs operations and manages revenue, client guide and finance. A former employee of Xerox and Diebold, he is been with Hitachi in view that 1989.

Key items:device and utility bought below the liberty Storage product line. The company is striving to offer utility to make storage techniques simpler to set up, monitor and manipulate.

Reference exams

The climate Channel

invoice WatsonManager, methods Administration(770) 226-0000Project: Cable television community has used a 20-terabyte SAN from Hitachi and eight Brocade Silkworm switches on account that 2000.

Washington tuition, Genome Sequencing middle

Kelly CarpenterSystems supervisor kcarpent@ watson.wustl.eduProject: The institution deployed a 2.4 terabyte SAN from EMC in 1999, and introduced a 4-terabyte equipment from Hitachi in 2000 for the task to catalog human DNA.

Burlington Coat factory

Mike PrinceChief counsel Officer, VP(609) 387-7800Project: Deployed Hitachi storage systems and Brocade switches to streamline statistics backup.

complete techniques capabilities

Selvin HollingsworthDirector, community capabilities(706) 649-2310Project: The credit score-card processor operates a 12-terabyte SAN from Hitachi.

Manulife economic

Sheldon MeingartenDirector, regular Storage(416) 341-7812Project: Toronto-based economic services company operates multiple SANs, using machine from each EMC and Hitachi linked by means of Brocade switching systems.

The Hill faculty

Rick BauerChief tips Officerrbauer@ thehill.orgProject: The Pottstown, Pa.-primarily based boarding college is deploying a 2.3 terabyte SAN from Hitachi to control its digitized lecture videos.

Executives listed here are all clients of Hitachi facts methods' products. Their willingness to talk has been confirmed with the aid of Baseline.


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Marking a strategic milestone designed to ignite the high-performance computing (HPC) storage market, Hitachi Data Systems, a wholly owned subsidiary of Hitachi, Ltd. (NYSE: HIT), today announced significant enhancements to the Hitachi High-performance NAS Platform, powered by BlueArc, further extending its lead over competing solutions. Based on performance achieved in real-world customer environments and displaying near linear scalability, the Hitachi High-performance NAS Platform now delivers more than 1 million IOPs (input-output operations per second) in the newly available 4-node cluster configuration.

Today’s news further leverages Hitachi Data Systems’ worldwide OEM agreement with BlueArc, announced in December last year, to maximise product development efforts around the delivery of sophisticated file-based storage virtualisation solutions that are designed to accelerate Hitachi Data Systems’ expansion into the global high-performance computing (HPC) storage market.

Commenting on today’s announcement John Mansfield, vice president, Product Management, for Hitachi Data Systems said, “We have taken NAS to the next level by moving to 4 node clusters and dramatically elevating the level of performance that customers can expect from Hitachi’s High-performance NAS Platform. Our unique architecture provides remarkably efficient resource consumption when clustering, relative to our competition. The increase in performance is considerable as it reduces the costs and resources associated with storing, managing and most importantly, accessing data. Our enhanced NAS platform is ideal for both enterprise customers who need large scale consolidation and users in data-intensive, high-performance computing markets, such as life sciences, Internet services and entertainment, who place a higher emphasis on performance and scalability.”

"Scalability is essential to high-end storage environments," said Tony Asaro, senior analyst, Enterprise Strategy Group. "High-end NAS systems are often limited to dual node architectures and relatively small file systems. The Hitachi high-performance NAS solution can scale up to 4 nodes and to a 512 terabyte name space and has the advantage of providing high performance for all data types including transactional and streaming I/O. Hitachi is well positioned to be a dominant player in the high-end NAS market including data centre and high performance computing. They are a leading storage vendor that understands what it takes to support mission-critical environments that require leading-edge performance, data protection, reliability and scalability."

Enhanced Data Protection Ideal for High-Performance Computing Environments

The ability to cluster up to 4 nodes with active/active clustering and failover not only boosts the performance of Hitachi’s High-performance NAS Platform, but also further enhances its availability and reliability, making it ideal for large enterprises focused on consolidation and companies requiring intensive file processing. The new High-performance NAS Platform reduces processing cycle times, increases the number of simultaneous users, thereby expanding information sharing and collaboration, and enables seamless scaling of workloads and capacity. These enhanced data protection capabilities make the Hitachi High-performance NAS Platform tailor-made for protecting the highly valuable data produced and processed in high-performance computing environments.

In addition to doubling the performance of its High-performance NAS Platform, Hitachi will now offer a maximum of 32 Virtual Servers per single node or cluster, a new Cluster Read Caching feature and a new FSX Module. The Cluster Read Caching feature enables customers in data-intensive verticals to accelerate performance in NFS environments. The FSX module more than doubles CIFS performance, making it an ideal solution for customers in Microsoft Windows- intensive environments.

For more information, please visit http://www.hds.com/products_services/nas/high-performance.html

About Hitachi Data Systems

Hitachi Data Systems leverages global R&D resources to develop storage solutions built on industry-leading technology with the performance, availability and scalability to maximise customers' ROI and minimize their risk. By focusing on the customer's perspective as we apply the best hardware, software, and services from Hitachi and our partners, we uniquely satisfy our customers' business needs. With approximately 3,200 employees, Hitachi Data Systems conducts business through direct and indirect channels in the public, government and private sectors in over 170 countries and regions. Its customers include more than 50 percent of Fortune 100 companies. For more information, please visit our Web site at http://www.hds.com.

About Hitachi, Ltd.

Hitachi, Ltd., (NYSE: HIT / TSE: 6501), headquartered in Tokyo, Japan, is a leading global electronics company with approximately 356,000 employees worldwide. Fiscal 2005 (ended March 31, 2006) consolidated sales totalled 9,464 billion yen ($80.9 billion). The company offers a wide range of systems, products and services in market sectors including information systems, electronic devices, power and industrial systems, consumer products, materials and financial services. For more information on Hitachi, please visit the company's website at http://www.hitachi.com.

# # #

© 2007, Hitachi Data Systems Corporation. Hitachi Data Systems is registered with the U.S. Patent and Trademark Office as a trademark and service mark of Hitachi, Ltd. All other trade names, trademarks, and service marks used herein are the rightful property of their respective owners.


Embedding GNU: Newlib, Part 2 | killexams.com real questions and Pass4sure dumps

Bill Gatliff

January 03, 2002

Bill Gatliff-January 03, 2002

Embedding GNU: Newlib, Part 2

In the first part of this article (January 2002), I introduced newlib, a C runtime library for some embedded software built using GNU tools. I discussed some of its features, the issue of reentrancy, portability, and started to explain how to build newlib. This time, I'll show you how to integrate newlib into a multithreaded runtime environment that features Jean Labrosse's μC/OS.

Porting newlibThe newlib C standard library supports more than a dozen target CPU architectures, but it doesn't come with stubs to connect it to very many operating systems. As a result, the odds are almost certain that you'll need to do some porting work to get newlib running in your system. Fortunately, the process is both straightforward and relatively painless.

As I mentioned, all of newlib's functionality builds on a set of 17 stubs that supply capabilities newlib cannot provide itself-low-level filesystem access, requests to enlarge its memory heap, getting the time of day, and various types of context management like process forking and killing. These stubs are fully documented in newlib's libc.info file, in the section called "Syscalls." The key to a successfully ported newlib is finding the functionality in your system to hook these stubs to.

What's that you say? Your embedded system runs a custom RTOS that lacks a filesystem or memory management API, or maybe you don't have an RTOS at all? No problem-newlib doesn't really care, as long as the stubs you end up using can supply the needed functionality.

To demonstrate this, I'll show how to use newlib in an embedded system that uses μC/OS (www.ucos-ii.com), a small pragmatic RTOS that features a reentrant memory pool implementation, but lacks any concept of a device driver or filesystem API. Despite this operating systems's spartan feature set, the results will be both practical and educational-the combination of μC/OS and newlib yields a perfectly usable system, and offers insights into how you would use newlib in both larger and smaller settings.

Reentrant vs. nonreentrant stubsBefore we get started, one observation is in order. In many places, newlib offers two types of stubs: reentrant and nonreentrant. The only difference between the two is that the reentrant stubs include a _reent structure pointer in their signatures, which allows the implementer to carry context-specific information between the library and the target operating environment, which, among other things, lets you cleanly communicate errno values to the proper execution thread when errors occur.

In order for newlib to use your reentrant stubs, you have to add

-DREENTRANT_SYSCALLS_PROVIDED to the CFLAGS_FOR_TARGET variable in the makefile before building newlib. I always do this, and the following examples will assume that you have done so too. If you choose to use the nonreentrant stubs instead, then eliminate the _r from each stub's name (_fork_r becomes _fork), and eliminate the portions of the stubs that relate to the _reent structure.

Let's get started now, shall we?

_fork_rNewlib calls upon this stub to do the work for the fork() system call, which, in POSIX environments, is used to create a clone of the current processing context.

A hardcore POSIX enthusiast could implement this stub with help from μC/OS's OSTaskCreate() function, but that is a challenging exercise. (The semantics of the conventional fork() do not coexist peacefully with μC/OS's way of managing task creation.) In fact, trying to implement fork() in μC/OS is probably a bad idea, because it raises task priority and synchronization issues that μC/OS already addresses quite well on its own. So we'll save joining the two for another day, and leave this stub essentially unimplemented.

int _fork_r ( struct _reent *ptr ){   /* return "not supported" */    ptr->errno = ENOTSUP;  return -1;}

If the application wants to create a new thread of execution, it will have to do so explicitly with μC/OS's OSTaskCreate() system call, and not via fork(). We'll take this approach for several other context management-related stubs, including _execve, _kill, _wait_r, and _getpid_r. That takes care of the first five stubs.

_write_r and _read_rThese stubs are a bit more interesting to implement, because μC/OS does not provide any type of device driver or filesystem model.

In a nutshell, newlib calls _write_r any time it wants to send data to a device, be it due to a write() call, printf() or fprintf(), or anything similar. The _reent parameter provides a place for the stub to communicate errors should they occur, and file descriptor parameter, fd, tells the stub which device newlib is trying to talk to. The remaining arguments supply a source data buffer and number of bytes to write.

The tricky part here is the semantics. For example, you don't need to write all the bytes that newlib asks you to, but if you don't, newlib will simply call you again with the remaining data. So if the return value never eventually equals the number of bytes requested, newlib will misbehave.

Furthermore, newlib doesn't call open() for file descriptors 0, 1, or 2, which means that the _write_r call is the first activity you will see on those streams. Stream 0 is defined by convention to be the "standard input" stream, which newlib uses for the getc() and similar functions that don't otherwise specify an input stream. Stream 1 is "standard output," the destination for printf() and puts(). Stream 2 refers to "standard error," the destination conventionally reserved for messages of grave importance.

You may use any other positive integers for file descriptors, as we'll see when we discuss the _open_r stub.

To implement _write_r, I'll start by defining a simple "device operations" table, with function pointers for all the kinds of activities you would expect a stream-like device driver to support, as shown in Listing 1. Each device driver will supply its own device operations table, as shown in Listing 2.

Listing 1: Device operations table

typedef struct {   const char *name;   int (*open_r )( struct _reent *r, const char *path, int flags, int mode );   int (*close_r )( struct _reent *r, int fd );   long (*write_r ) ( struct _reent *r, int fd, const char *ptr, int len );   long (*read_r )( struct _reent *r, int fd, char *ptr, int len );} devoptab_t;

Listing 2: Each driver provides a devoptab_t

/* dtab for an example stream device called "com1" */const devoptab_t devoptab_com1 = { "com1", com1_open_r, com1_close_r,com1_write_r, com1_read_r };

Each driver will also provide its own open_r, close_r, write_r, and read_r functions to handle device initialization and shutdown, and data movement to and from the physical device.

Somewhere in the application, we'll gather up all the application's devoptab_t declarations into a master array, as in Listing 3.

Listing 3: The full set of devices

const devoptab_t *devoptab_list[] = {   &dotab_com1, /* standard input */   &dotab_com1, /* standard output */   &dotab_com1, /* standard error */   &dotab_com2, /* another device */   ... , /* and so on... */   0 /* terminates the list */};

With all of that in place, the _write_r stub is simple to implement, because all it has to do is map a file descriptor to the proper set of device operations. Listing 4 shows one way to do it.

Listing 4: Stub for device writes

long_write_r ( struct _reent *ptr, int fd, const void *buf, size_t cnt ){   return devoptab_list[fd].write_r( ptr, fd, buf, cnt );}

_read_r is identical, except that it calls the driver's read_r method, instead of write_r.

With this approach, device drivers are free to use whatever μC/OS services they need in order to manage reentrancy and mutual exclusion issues. For example, a driver's write_r function could use a mutex to prevent two simultaneous write requests, or it could atomically push transmissions to a message queue that was simultaneously emptied by a waiting task. Such details are well beyond newlib's concern, of course, but they illustrate the flexibility that is possible.

_open_rThis stub's primary purpose is to translate a string device or file "name" to a file descriptor. With the exception of the standard input, standard output, and standard error devices, this function can also be used to provide advance notice of an impending write() or read() request.

Continuing with our approach of utilizing device operation tables, the _open_r stub can be very simple, as shown in Listing 5. You can safely ignore the _open_r stub's flags and mode parameters, because they're only of interest when talking to a true filesystem.

Listing 5: Stub for device opens.

int_open_r ( struct _reent *ptr, const char *file, int flags, int mode ){   int which_devoptab = 0;   int fd = -1;

/* search for "file" in dotab_list[].name */do {      if( strcmp( devoptab_list[which_devoptab].name, file ) == 0 )   {      fd = which_devoptab;      break;   }} while( devoptab_list[which_devoptab++] );

/* if we found the requested file/device, invoke the device's open_r() */if( fd != -1 ) devoptab_list[fd].open_r( ptr, file, flags, mode );

/* it doesn't exist! */else ptr->errno = ENODEV;return fd;}

_close_rMan, this one's easy. It's basically a clone of _write_r and _read_r, but with slightly modified semantics, as shown in Listing 6. And now we've finished nine stubs.

Listing 6: Stub for device close

long_close_r ( struct _reent *ptr, int fd ){   return devoptab_list[fd].close_r( ptr, fd );}

_sbrk_r

Newlib calls this stub whenever malloc() runs out of heap space and wants more. As it turns out, this happens frequently-newlib's malloc() will only ask for incremental chunks of memory, a benign artifact of its Unix heritage.

Assuming you reserved a heap memory area using a character array called _heap, a simple _sbrk_r would look like Listing 7.

Listing 7: Stub for growing the heap space

unsigned char _heap[HEAPSIZE];

caddr_t _sbrk_r ( int incr ){      static unsigned char *heap_end;      unsigned char *prev_heap_end;

/* initialize */      if( heap_end == 0 ) heap_end = heap;

prev_heap_end = heap_end;

      if( heap_end + incr - heap > HEAPSIZE ) {

/* heap overflow - announce on stderr */      write( 2, "Heap overflow!\n", 15 );      abort();}

   heap_end += incr;

   etirm (caddr_t) prev_heap_end;}

In this example, each time newlib calls _sbrk_r, the heap end grows by incr bytes. If it reaches the end of the maximum heap space (which hopefully never occurs), it sends an error message to the standard error stream, and then forcibly terminates the program. An alternative approach to a heap overflow would be to return NULL, and let the application find a way to muddle through on its own.

__malloc_lock and __malloc_unlockNewlib's memory management routines, like malloc(), call these functions when they need to lock the memory heap. By implementing some sort of mutual exclusion in these functions, you can make newlib's memory management code reentrant, or at least thread safe.

Bits of newlib's memory management code are recursive, and so you will likely see the following sequence of invocations in response to a malloc function call:

__malloc_lock, __malloc_lock, __malloc_unlock, __malloc_unlock

The tricky part here is that, if you aren't careful, the second __malloc_lock will cause itself to wait for a lock that it already holds, due to the first __malloc_lock.

There are two ways to solve this problem. The first is to simply punt and reimplement malloc() in its entirety using μC/OS's reentrant memory pool API. The second option is to really implement a working __malloc_lock and __malloc_unlock. Both approaches have their advantages, and which one you choose will depend on how your application needs to use dynamic memory.

Listing 8 is an example of how to use μC/OS memory pools to implement malloc. In this code, each allocation request consumes one block in the memory pool, whether the allocation needs that much space or not. Furthermore, if the allocation size exceeds the block size, the request fails, because μC/OS's memory block manager does not permit this.

Listing 8: Implementing malloc() via μC/OS

/* number of bytes per allocation */#define HEAPBLKSIZE 64

/* number of allocations available */#define HEAPBLKS 1024

/* our heap */   OS_MEM *heap;   unsigned char heapmem[HEAPBLKS * HEAPBLKSIZE];

void *malloc ( size_t size ){   INT8U err = OS_NO_ERR;   void *alloc = 0;

/* initialize, if necessary */OS_ENTER_CRITICAL();   if( !heap )   heap = OSMemCreate( heapmem, HEAPBLKS, HEAPBLKSIZE, &err );OS_EXIT_CRITICAL();

if( heap && err == OS_NO_ERR ) {

/* if the request fits the heap block length, make the allocation   from the heap */   if( size <= HEAPBLKLEN )alloc = OSMemGet( heap, &err );

/* otherwise, we're sunk */   else err = OS_MEM_NO_FREE_BLKS;}

/* deny the allocation on errors */   if( err != OS_NO_ERR )   alloc = 0;

return alloc; }

Using memory pools eliminates fragmentation worries and makes malloc() reentrant, but it wastes memory if the pool's block sizes don't match up with the typical allocation request. You can reduce some of the waste by providing buffer pools of several different sizes (perhaps corresponding to the sizes of data structures you know you'll be allocating memory for), but this approach is hardly generic-particularly when a distribution of sizes is needed.

For situations where a range of allocation sizes is needed, or the size of the largest potential allocation request is unknown, you have to use newlib's memory allocator, and implement __malloc_lock and __malloc_unlock functions. Listing 9 shows an example of how to do that. And then there were 12 stubs complete.

Listing 9: Implementing malloc() via lock and unlock

/* semaphore to prtect the heap */static OS_EVENT *heapsem;

/* id of the task that is currently manipulating the heap */static int lockid;

/* number of times __Malloc_lock has recursed */static int locks;

void __malloc_lock ( struct _reent *_r )   {      OS_PCB tcb;      OS_SEM_DATA semdata;      INT8U err;      int id;/* use our priority as a task id */      OSTaskQuery( OS_PRIO_SELF, &tcb );      id = tcb.OSTCBPrio;

/* see if we own the heap already */OSSemQuery( heapsem, &semdata );      if( semdata.OSEventGrp && id == lockid ) {

/* we do; just count the recursion */      locks++;   }

else {/* wait on the other task to yield the heap, then claim ownership of it */      OSSemPend( heapsem, 0, &err );      Lockid = id;   }

void__malloc_unlock ( struct _reent *_r )   {/* release the heap once the number of locks == the number of unlocks */      if( ( locks) == 0 ) {      lockid = -1;      OSSemPost( heapsem );   }}

__env_lock and __env_unlockThese functions protect the application's environment memory space, similar to what __malloc_lock and __malloc_unlock do for heap space. These stubs are involved with the setenv() and getenv() functions, so you can ignore them if you don't use environment variables, or you can duplicate the strategy used for heap memory protection shown above.

_exitThis stub forcibly terminates the application in response to the exit() or system() functions. There are several possiblities here, from simply allowing a watchdog timeout to passing control to some kind of secondary application to simulating a powerup reset in software.

The Hitachi SH-2 CPU reads its initial program counter and stack pointer from the first eight bytes of memory, so this snippet of code can be used to simulate a powerup reset:

; disable interruptsmov #-1, r0ldc r0, sr

; reset the stack pointermov #4, r0mov.l @r0, r15

; reset the program countermov #0, r0mov.l @r0, r0jmp @r0nop

The same approach can be used for most other processors, but you have to be careful here: this technique does not restore all of the CPU's registers and peripherals to their powerup states, so your application code cannot depend on initial values for proper operation.

_stat_r, _fstat_r, _link_r, _unlink_r, and _lseek_rThese stubs are used to implement newlib's stat(), fstat(), link(), unlink(), and lseek() functions. These functions all involve files, so they're of little importance when the target environment lacks a filesystem. We only worry about them here so that if the application or a bit of newlib's internal implementation calls these functions unexpectedly, we get a sane result.

For _stat_r and _fstat_r, we'll just tell the caller that the requested file or descriptor is a character device, as shown in Listing 10. For _link_r and _unlink_r, we'll claim that the operation always fails, as shown in Listing 11. For _lseek_r, we'll just pretend that the request is always successful, as shown in Listing 12.

Listing 10: All devices are of type character

int_stat_r ( struct _reent *_r, const char *file, struct stat *pstat ){   pstat->st_mode = S_IFCHR;   return 0;}

int_fstat_r ( struct _reent *_r, int fd, struct stat *pstat ){   pstat->st_mode = S_IFCHR;   return 0;}

Listing 11: Operation fails for _link_r and _unlink_r.

int _link_r ( struct _reent *_r, const char *oldname, const char *newname ){   r->errno = EMLINK;   return -1;}

int _unlink_r ( struct _reent *_r, const char *name ){   r->errno = EMLINK;   return -1;}

Listing 12: Request is successful for _lseek_r

off_t _lseek_r( struct _reent *_r, int fd, off_t pos, int whence ){   return 0;}

_getpid_rThis function returns the context's unique process ID, which we can emulate using μC/OS's OSTaskQuery() function.

_times_rThis stub returns various times for the current context. μC/OS doesn't keep statistics on a task's run time, so we leave this unimplemented:

int _times_r ( struct _reent *r,struct tms *tmsbuf ){   return -1;}

Onward!The code I have provided here is just the minimum set needed to get newlib up and running on your system. As you grow into newlib, you are likely to find places where it makes sense to replace newlib's implementations with your own, as I often do for malloc(). I won't claim that newlib was designed with this in mind, but its clean implementation makes many kinds of modifications simple and easy.

Bill Gatliff is an independent embedded systems consultant and a contributing editor to ESP. He welcomes questions and comments at bgat@bill-gatliff.com.

Return to January 2002 Table of Contents


Varonis Prevents Unauthorized Access to Unstructured Data | killexams.com real questions and Pass4sure dumps

You have probably witnessed the problem: terabytes of unstructured data, in the form of Excel spreadsheets, Word documents, PDFs, and image files, piling up on Windows servers, IFS servers, and file shares. Microsoft made it easy to store and share these files, but it failed to create an automated method for controlling access to these files. That’s not good when the files contain sensitive data like social security numbers. So Varonis developed a product that gives employees access only to the data they need to do their jobs.

According to the IT analyst firm IDC, unstructured data accounts for up to 90 percent of all the data stored by corporations. If the data had been stored using a relational database system, it would be a relatively simple matter to lock it down. But the simple fact is the vast majority of new data being created lives in an unstructured format.

“It’s a big pervasive problem,” says Johnnie Konstantas, vice president of marketing for Varonis, a New York City software company that last week launched a new version of its flagship product, DatAdvantage version 3.0. “Enterprises do a pretty good job controlling and protecting database data. But the data sitting on Windows file servers and file shares, access to it is not tightly controlled.”

The issue has to do with scale and approach. Windows and Active Directory do provide the capability to restrict access to directories and files for users and groups of users. But the technology is not nearly as granular as it should be, and it basically requires administrators to manually set permissions for each user or group of users. That just doesn’t cut it in enterprise environments with constantly changing workforces and unregulated growth of unstructured data.

But the problem isn’t restricted to Windows-only shops. Among System i shops–which also tend to be heavy users of Windows servers–there is no automated way to manage access to the Windows files stored on their Integrated File System (IFS) environment. Instead, administrators must lock down each individual directory or file with read, write, and use attributes. With more and more data finding its way onto System i shops’ IFS servers, the problem of protecting unstructured data is only getting worse.

“Say I join a new company,” Konstantas says. “The IT workers get a work order that says ‘Please assign Johnnie with access to the folder with all the marketing data.’ If I move to sales, there’s a new work order. If I stay with a company long enough, I’ll pretty much have access to everything.”

The situation is exacerbated by the never-ending growth of data. “Considering that data grows exponentially, and users move around so much, it’s impossible for a human being to keep up with and assign them permission and keep them timely,” Konstantas says. “People get access to all kinds of stuff that’s not needed for their jobs.”

Varonis developed DatAdvantage to put an end to this cycle by allowing users to access only the files on Windows servers and shared folders that they need to do their job. The product does this by monitoring file usage and “learning” which files particular users need to do their job. If a user tries to access a file that DatAdvantage has determined is not necessary for his job, it will prevent him from accessing the file.

DatAdvantagekeeps track of all user-initiated file access events, and provides the administrator with a color-coded log.

The software, which runs on Windows servers and only works with Windows file servers and file shares, uses a sophisticated algorithm to determine who gets access to what. “We are able to mathematically derive a relationship between you and the data you need to do your job,” Konstantas says. “The net result is you significantly lower the probability of data misuse.” The learning process normally takes about 30 days, after which the organization can put DatAdvantage into full protective mode. The product also includes a sandbox mode to test the effects of the data lock-down.

Data leakage can occur almost anywhere, even in organizations that (try to) keep their most sensitive data locked down in databases. Take for example the common practice of downloading information from a relational database into an Excel spreadsheet, where it is readily manipulated by workers who have developed extensive skills in Excel. Even though the manager or executive is a trusted individual who is authorized to view salary or healthcare information, the security of that data is lowered considerably when it is moved to an Excel spreadsheet. In some cases, such use could be a violation of new federal data handling laws.

While only a small percentage of a people in an organization use their permissions in a malicious way, the fact remains that it only takes one malicious event to ruin it for the rest of the company. When you consider that the majority of incidents of malicious hacking are perpetrated by individuals from within the organization that got hacked (as opposed to hackers gaining access over the Internet), the importance of locking down access to unstructured data is magnified.

DatAdvantage continuously monitors access techniques and updates its user-file relationships, and also takes measures to protect the organization against disgruntled users. “We make sure data is protected where it lives, on file shares first,” Konstantas says. “But just because you give them permission [doesn’t mean they won’t become disgruntled]. So we continually audit and monitor every file touch. The administrator will know if you’re showing an anomalous activity pattern.” Varonis claims the product is 99.999 percent accurate, and in the rare case when the product wrongly blocks a user from accessing data they need, it’s a fairly simple matter to restore access, Konstantas says.

The advanced search window in DatAdvantage 3.0 gives administrators access to new filtering and sorting mechanisms to spot possible data leakage.

With DatAdvantage version 3.0, Varonis has boosted the product’s search, scalability, and reporting capabilities. In terms of search, the new version delivers a more granular record of user access activity, and includes filters for finding file access trends by the individual, by data sets, by action, by time of day, or by IP address. Scalability has been increased by tripling the number of file servers that individual “probes” can gather event access data on, up to 75 servers per probe, or about 10 to 20 TB per probe. (“This thing can really scale,” Konstantas says.) Varonis also added a new dashboard reporting feature that shows every file server’s data utilization statistics in graphical and table formats.

Since it was formed by Yaki Faitelson (the president and CEO) and Ohad Korkus (the CTO and vice president of R&D) nearly three years ago, Varonis has attracted about 65 customers and more than 200 installations, including Sharp Healthcare and the Museum of Modern Art. The company has 75 employees, and $13.5 million in venture funding.

DatAdvantage version 3.0 is available now through Varonis’ partner network. The software requires SQL Server standard or enterprise edition. Pricing starts at $25,000 for a license for one to 250 users. For more information, visit www.varonis.com.

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