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HP0-D21 exam Dumps Source : Implementing HP0-D21 HP Matrix Operating Environment
Test Code : HP0-D21
Test Name : Implementing HP0-D21 HP Matrix Operating Environment
Vendor Name : HP
Q&A : 65 Real Questions
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Accenture Awarded HP accomplice in Excellence global Innovation Award for Cloud Computing
big apple; February 22, 2013 – Accenture has been diagnosed with an HP associate in Excellence world Innovation Award for Cloud Computing on the 2013 HP global companion convention.
HP companion in Excellence Award winners are chosen through a panel of HP Alliance executives and introduced to striking HP partners worldwide who've tested wonderful company efficiency, finished big average increase, have delivered ingenious options to purchasers, or have confirmed IT innovation via philanthropic actions in their native communities.
The HP accomplice in Excellence world Innovation Award for Cloud Computing honors Accenture for demonstrating large success with HP by using implementing a personal Cloud answer for a worldwide healthcare items customer.
“The HP accomplice in Excellence global Innovation Award for Cloud Computing is a testomony to our proven music record of working collectively to generate dramatic business growth and producing tangible results for our clients,” talked about Scott Harrison, world managing director, Alliances, Accenture. “during the last two decades, Accenture and HP have jointly designed and implementedstrategic solutions for our joint valued clientele and it is moneymaking to be recognized as a frontrunner in delivering company outcomes for our valued clientele with HP.”
“This cloud solution introduced collectively Accenture capabilities with the HP CloudSystem Matrix to create an excellent greenfield business facts Warehouse. It isa brilliant instance of the significance of a joint partnership within the marketplace,” noted Jesse Chavez, vp, global Channel revenue and Alliances, HP.
About AccentureAccenture is a worldwide administration consulting, technology functions and outsourcing business, with about 259,000 americans serving shoppers in additional than 120 nations. Combining unparalleled adventure, complete capabilities across all industries and business functions, and huge analysis on the realm’s most a success groups, Accenture collaborates with purchasers to assist them develop into excessive-efficiency organizations and governments. The company generated web revenues of US$27.9 billion for the fiscal year ended Aug. 31, 2012. Its home web page is www.accenture.com.
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Peter Y. Soh
+ 703 947 2571
sure! Gradient Descent can be used to lower assorted parameters of a function. if you don't seem to be everyday with Gradient Descent click right here. during this publish, you are going to use Python to put in force Multivariable Gradient Descent for a Multivariate Linear model. this can all be performed from scratch! we are able to use this mannequin to foretell the catch cost of a Pokemon given it’s total and particular-assault stats.what's Multivariate Linear model?
Let’s focus on Multivariate Linear Regression. in case you aren't general with Linear Regression click on here. recollect that Linear Regression allows you to predict stylish y values the use of independent x values. for example, through the use of temperature backyard you could predict the income of ice cream.
youngsters, Multivariate Linear Regression lets you use distinctive x’s (features) to foretell a y price. an excellent example, of this, would be the usage of temperature, distance from ice cream store, and distances from smoothie retail outlets to foretell ice cream sales.diverse features? How do I graph this?
superb question! once once again facets are machine studying terminology for variables. So how are you able to graph this mannequin? smartly, each function of our dataset represents a dimension. including the y variable! you're the usage of elements x to predict function y.3D model
This model consists of three features Radio, earnings, and tv. every characteristic correlates to a dimension that effects in this model having 3 dimensions.Multivariate Linear Regression as a function
keep in mind the usual speculation characteristic for Linear Regression.
that allows you to with ease expect the function for Multivariate Linear Regression is:
although, the finest illustration is:
What are these hieroglyphics on the screen?Vectors and Matrices explained
A matrix is a rectangular array that holds values and we focus on the dimension of an array via its Rows x Columns.
for example, here's a 2 x four matrix. For the sake of this publish, which you can outline a vector as an quantity of Rows x 1 matrix.What are function Matrices?
exceptional question! In computing device gaining knowledge of we can symbolize a gaggle of facts in a matrix. each and every row of the matrix is an individual records factor and the columns of that row are the records points’ points. as an example, if we had a matrix of Pokemon factsidentify HP assault protection 1 Bulbasaur forty five 49 forty nine 2 Ivysaur 62 sixty three 80 three Venusaur eighty two 83 ninety
Our matrix has 3 rows(aka 3 statistics points). The aspects of these records features are identify, HP, assault, and protection. What are the numbers on the side? that you may consider of these numbers as enjoyable indexes this permits us to distinguish between statistics points. we can name the matrix above pokeMatrix now we are able to make the most of our indexes. in case you have been to classpokeMatrix
you could possibly get back that information element'Bulbasaur', 45, forty nine, forty nine Let’s Dig Deeper into the columns of our pokeMatrix identify HP attack defense 1 Bulbasaur 45 49 forty nine 2 Ivysaur sixty two sixty three eighty 3 Venusaur eighty two eighty three 90
remember that we defined a vector as a amount of Rows x 1 matrix. Lets visualize thisVector1 Vector2 Vector3 Vector4Name HP attack protection 1 Bulbasaur forty five forty nine 49 2 Ivysaur 62 sixty three 80 three Venusaur 82 83 ninety
before scrolling down, on a sheet of paper write the vector for the HP featureHP Vector456282
splendid! These values are on a separate line, because they each and every belong to their personal rows.facts aspect vs feature
Whats is the change between indexing the pokeMatrixpokeMatrix
and grabbing the HP characteristic?HP Vector456282
if you happen to index the pokeMatrix, you're grabbing a selected information point. however, for those who are grabbing the HP characteristic you are getting each HP price in the matrix, accordingly resulting in you getting a vector containing those values. you can feel of a matrix as a set of vectors, so you are well-nigh grabbing a type of vectors inside the pokeMatrix.function Matrix Jargon m = variety of rows on your matrix aka variety of records elements
records aspects are also known as practicing examples. Our pokeMatrix has four rows as a consequence it has 4 information elements which means it has four practising examples.N = number of columns aka variety of aspects speculation function
consider our feature for Linear Regression
Let’s dive deep into the cost of x. The x in our equation is an impartial variable or unbiased feature we're using this impartial feature to predict the dependent feature y. consider our pokeMatrixX1 X2 X3 X4Name HP attack defense 1 Bulbasaur forty five 49 forty nine 2 Ivysaur sixty two sixty three eighty three Venusaur eighty two eighty three 90
Let’s say we've a pokemon HP feature that is dependent upon the pokemon’s protection characteristic. So we might use Vector4 to foretell Vector2. Now let’s think about that a pokemon’s HP is dependent upon its assault, protection, and some number of other elements. as a substitute of penning this pesky characteristic
we are able to now put all of our feature vectors into a vector.
And simply as we will vicinity our points in a vector we will do the equal for our theta variablesVectors within Vectors?
Let’s reimagine our x vector from above, each and every entry within this x vector is a data factor, and each information aspect should be an 1 x N vector. In our case we can think about this as the amount of aspects. So let's make an x vector containing the HP, assault, and protection for each and every of our data points within the pokeMatrix.[[45, 49, 49] Represents row 1 of the pokeMatrix,[62, 63, 89] Represents row 2 of the pokeMatrix, [82, 83, 90] Represents row 3 of the pokeMatrix,]
Does this look everyday? sure, our vectors within vectors have changed into a function matrix.What is this Theta times X you talk of?
in this section, i'll need to suggest simple Linear Algebra for Deep learning via Niklas Donges. To finished these mathematical operations you will need to consider vector/matrix multiplication, vector/matrix transpose, and vector/matrix addition and subtraction. unfortunately, those themes are so dense i would should write an entire medium submit just explaining the way to complete these operations. in case you are not normal with these operations please click on on the advised weblog and re-be a part of us! because of time constraints, I ought to proceed on to Gradient Descent.Gradient Descent for assorted Variables
amazing, now that we take into account matrix/vector operations let’s discuss gradient descent! recall that Gradient Descent is an optimization method which lets you locate the minimum cost of a feature. In our case, we are seeking for the minimal theta values with a purpose to give our Multivariate Linear mannequin the smallest loss price. be aware that loss is the change between our envisioned cost and the specific cost. So if we expected a Pokemon’s assault power became 76 when in certainty the attack vigour become 81 then we now have a lack of 5.
we will use the feature beneath to calculate Gradient Descent for diverse thetas:
besides the fact that children, here's no longer scalable in any respect and would require us to hardcode in each and every theta. as an alternative we use the implementation bellow, which is scalable and less demanding to code:
with the aid of the vigour of vector operations, we will compute every theta simultaneously.Your Thetas are your model
we are in the hunt for the best thetas! Our purpose in Gradient Descent is to discover the most reliable records values that for any given x we can perfectly predict y. here is some extent I see glossed over in lots of tutorials! I want to stress the point that we are practicing our thetas and with these educated thetas we should be able to predict any y given, a x cost that we've under no circumstances considered before. In conclusion, we're practising our theta values to precisely predict y when given an x value we now have not ever earlier than viewed.Let’s speak Pokemon
Now that you simply keep in mind the maths we are able to talk concerning the more critical things in lifestyles such as pokemon! during this publish we can use particular assault and total stats to predict a Pokemon’s seize expense. The dataset we're using is pokemon_alopez247.csv that you can use it via clicking here. when you've got the Kaggle API installed for your computing device, that you may down load the dataset to your terminal with this command:kaggle datasets download -d alopez247/pokemon Let’s Graph the records
considering that your facts is already clear we are able to automatically plot it. Now you could import these librariesimport mathimport matplotlib.pyplot as pltfrom mpl_toolkits.mplot3d import Axes3Dimport numpy as npimport pandas as pd
Let’s convert our csv file into a dataframe(function matrix)statistics = pd.read_csv('pokemon_alopez247.csv')
we will grab our preferred aspects from the statistics variable:complete = np.asarray(information['Total'])special_attack = np.asarray(facts['Sp_Atk'])catch_rate = np.asarray(facts['Catch_Rate']) temp = np.asarray([[tot, spec_atk] for tot, spec_atk in zip(total, special_attack)]) # receives our features # Splits our aspects into training and testingtraining_features = temp[:int(len(temp) * 0.7)]test_features = temp[int(len(temp) * 0.3):] temp = np.asarray([rate for rate in catch_rate]) # gets our y's # Splits our y's into training and testingtraining_output = temp[:int(len(temp) * 0.7)]test_output = temp[int(len(temp) *0.3):] theta = np.random.uniform(0.0, 1.0, size=2)
using matplotlib.pyplot we will construct a 3d figurefig = plt.determine()ax = fig.add_subplot(111, projection='3d')
Let’s plot our elements.def generateZValues(x, theta):z_values = for i in latitude(len(x)):z_values.append(speculation(x[i], theta))return np.asarray(z_values) def graph(features, output, theta, figure_name):x = y = for function in aspects:x.append(function)y.append(feature)z = generateZValues(function, theta)
fig = plt.figure()ax = fig.add_subplot(111, projection='3d')plt.scatter(x, y, z, c='r', marker='o')#make certain that the next plot doesn't overwrite the primary plot
ax = plt.gca()ax.dangle(authentic)plt.scatter(x, y, output, c='g', marker='d') ax.set_xlabel('total')ax.set_ylabel('particular assault')ax.set_zlabel('catch expense')plt.savefig(figure_name)
Now we can graph our initial thetasgraph(features, output, hypothesis) # SUDO Code
pretty close, right? Our conclusion goal is to have those pink circles overlaying as a lot of our statistics aspects as viable.
that you can now set your discovering expense.alpha = 0.0001
which you could at last put in force multivariable Gradient Descentdef gradientDescent(x, y, theta, m, alpha, iterations=1500):for new release in range(iterations):for j in latitude(len(theta)):gradient = 0for i in range(m):gradient += (speculation(x[i], theta) - y[i]) * x[i][j]gradient *= 1/mtheta[j] = theta[j] - (alpha * gradient)print(theta)return theta
Let’s train your mannequingradientDescent(training_features, training_output, theta, len(training_output), alpha)
Now that we have our newly proficient thetas lets graph the consequences,
Wow, your mannequin is working like a appeal!Theta Reminders
remember your thetas are your model! You went through this complicated technique to locate the most beneficial thetas that, when paired with an unseen x cost, that you may accurately predict a y price.The Code final words!
notable, via this tutorial you have learned about function matrices and the importance of theta. thanks for analyzing and please remark you probably have any questions.
besides the fact that children, alternate options do exist. Hewlett-Packard (HP) Co.'s HP BladeSystem Matrix additionally has a decent integration of servers, virtualization, management, and community and storage I/O. however in contrast to the Unified Computing gadget, the HP BladeSystem Matrix makes it possible for for a big range of server blades, a wealth of storage options and has a complete package of built-in services. InteliCloud Inc.'s 360 is one other option that has an creative chassis design, a proactive approach to cooling and versatile server blades.
HP BladeSystem Matrix
Hewlett-Packard has come out with a very competitive response referred to as HP BladeSystem Matrix. just like the Unified Computing device, the Matrix scales to 320 servers with a decent integration of servers, virtualization, management, network and storage I/O. It also utilizes material extenders that interconnect the BladeSystem chassis to Fibre Channel (FC) and 10 Gigabit Ethernet (10 GbE) fabrics.
not like the UCS, the Matrix would not make the most of Converged more desirable Ethernet (CEE) and converged network adapters (CNAs) nowadays. but HP does plan on helping them when the usual is finalized and the market requires it. instead, Hewlett-Packard supports the present specifications of 4 Gbps/eight Gbps FC for storage-area network (SAN) storage I/O and 1 Gbps/10 Gbps Ethernet for networking I/O and iSCSI SAN storage I/O. This can also require each FC and Ethernet textile extenders. HP calls them virtual connects as a result of they appear as multiple servers as a substitute of switches to their respective fabrics. it may additionally require both a 1 Gbps and 10 Gbps network interface card (NIC) and a four Gbps/8 Gbps FC host bus adapter (HBA).
The HP BladeSystem Matrix has a number of benefits over Cisco's Unified Computing gadget. The Matrix has a a whole lot extra granular record of alternate options. not like UCS, HP allows for for a wide range of server blades from superior Micro gadgets (AMD) Inc., Intel Corp.'s Xeon (including the Xeon 5500, which is code-named Nehalem) and Itanium, in addition to reminiscence and even solid-state force (SSD) options that may also be combined and matched via requirement. there is also a wealth of storage selections, together with HP business virtual Arrays (EVAs), LeftHand Networks Inc. (now a part of HP), MSA and storage blades. The software options are just as rich, together with the bundling of HP perception Dynamics-VSE and perception control application. eventually, Hewlett-Packard bundles an entire equipment of built-in functions, including engagement, deployment and end-to-conclusion project management.
but the Cisco u.s.a.does have some potent merits. The virtual swap is uniquely Cisco and solves giant administration issues. The converged network and storage I/O on 10 GbE will also be attractive even if it is proprietary. Cisco's blade chassis additionally requires much less energy and cooling than equivalent HP blade programs. And Cisco has strategically partnered with EMC Corp. and NetApp.
In a competitive situation, Hewlett-Packard should still have the talents when integration is required with legacy programs, chiefly servers, storage and storage fabric. however in a "eco-friendly container" chance (where no legacy equipment integration is required), Cisco may be very competitive.
Quietly cruising underneath the radar is southern California startup InteliCloud and its artistic unified computing equipment called InteliCloud 360. It has significantly extra innovation than Cisco's Unified Computing system and greater flexibility than the HP BladeSystem Matrix. The innovation comes from artful packaging, hardware and application.
The InteliCloud 360 is conceptually a data middle in a field. It gives finished, conclusion-to-end integration of hardware, software, servers, virtualization, networks and storage, and is designed to scale both up and out.
The hardware innovation starts with the chassis, which isn't usually notion of as an area ripe for innovation. InteliCloud architected the 360 chassis around the superior Telecommunications Computing architecture (AdvancedTCA or ATCA) regular form components. The enterprise also took a proactive strategy to cooling by means of implementing clever cooling algorithms that make the most of a community of thermal sensors and five rear-established replaceable fan trays to maximise effectivity.
This enables InteliCloud to place 28 blade slots (14 blade slots in the front and 14 blade slots in the again) in an awfully compact 10U, 19-inch extensive, 24-inch deep footprint. it be also community gadget enterprise techniques (NEBS) level three compliant, that means it meets relevant office necessities and may be positioned in both a data core or a central office. every slot is rated as much as 40 Gbps line fee (the equivalent of the InfiniBand quad records expense). The forward-dealing with slots guide server blades, storage blades and i/O blades, whereas rear-facing slots help I/O blades and switch/handle blades. All blades are scorching swappable.
The server blades are very flexible and might be any mix of 2, four or 6 core Intel, 2-four cores AMD and eight cores solar Microsystems Inc.'s UltraSPARC T2 processor. each server blade supports from 8 Gb to 48 Gb of DRAM.
The I/O blades for the InteliCloud 360 are an extra enviornment that distinguishes the equipment from Cisco's Unified Computing equipment and the HP BladeSystem Matrix. The multi-ported I/O blades have local-area community (LAN) interface alternate options to support each 1 GbE and 10 GbE, in addition to wide-area network (WAN) alternate options to guide OC-3, OC-12, T1, E1 and J1. The I/O blades include advanced rear transition module silicon on the boards enabling load balancing and scorching swap.
every blade change is multifunctional, aiding up to eight ports of CEE 10 GbE, four ports of four Gb FC, plus a 1 GbE port and an RS-232 port. They deliver excessive-velocity layer 2/three/4 records route switching and hardware assisted load-balancing capabilities between all of the blades.
The storage control module blade gives the control part to InteliCloud's disbursed storage architecture. every storage blade incorporates on-board strong-state drives for working gadget and InteliCloud software accessories, and helps any aggregate of SAS, SATA, FC and SSD, as well as 7.2K, 10K and 15K drives. All drives are sizzling swappable.
The hardware is suave and distinguishes the InteliCloud 360 from Cisco's u.s.and HP's BladeSystem Matrix. but it surely's the utility that appears to bring up Cisco and HP to a special category. each the Cisco Unified Computing equipment and HP's BladeSystem Matrix are stylish of Citrix programs Inc. (HP), Microsoft and VMware for server virtualization. while this makes it possible for Cisco and HP to leverage ISV software, it inherently limits what these vendors can do.
The InteliCloud 360 can also run these off-the-shelf server virtualization items. however to get server virtualization effectivity from 25% of the overhead to below 2% and boost the virtualization scope to envelope networks and storage requires InteliCloud's inVELOPE server virtualization, inSTORE storage virtualization and inCONTROL management utility.
inVELOP performs OS-level virtualization that simplifies end-to-end integration. It offers a hundred% hardware and utility abstraction for servers go platform, together with AMD, Intel, Linux, Oracle-sun, Solaris 10, home windows Server 2003/2008 and networks with a standard interface.
inSTORE simplifies the sharing of average storage with fabric-based "block storage virtualization." It retailers statistics employing a dynamically optimized map to guide assorted applications throughout a standard pool of block storage components.
inCONTROL combines assistance from every resource within the chassis to optimize universal system habits allocating chassis components on-demand in accordance with coverage. each and every chassis has its own instance of inCONTROL. When there are varied chassis, each and every illustration of inCONTROL interacts with all of the others to kind a geographically-conscious grid or cloud. resources are then allocated on-demand based on coverage and location move chassis. This allows for dozens of InteliCloud 360s to be aggregated right into a single equipment. InteliCloud 360 may still be reasonably competitive with each Cisco's Unified Computing equipment and HP's BladeSystem Matrix.
BIO: Marc Staimer is president of Dragon Slayer Consulting.
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Before embarking on a virtualization project, you need two things: a good plan and the best implementation strategy. We offer tips for building both.
If you're exploring how to get the most out of virtualization in your data center, you need a plan and you need to know how to avoid the common mistakes your colleagues have made when implementing a virtualization plan.
We asked Scott Farrand, vice president, Infrastructure Software and BladeSystem at HP about the key elements of a virtualization strategy, what benefits you can expect, how to avoid common mistakes, and how to meet the technical challenges of a heterogeneous environment.
Enterprise Strategies: How do customers assess what type of virtualization (server, storage, networking, etc.) is appropriate for their business/IT needs?
Scott Farrand: Customers should start with the business goals they are trying to achieve -- e.g., are they primarily looking for short-term cost savings or are they also interested in benefits such as an increased ability to respond to change and reduced risk? Although short-term benefits can be achieved by focusing on a single area such as server virtualization, the longer-term benefits require a broader strategy across servers, storage, and networking.
The most important step to making effective virtualization design decisions is to first assess the current data center resources. Customers should evaluate their specific server, storage, networking, and management capabilities to determine when and where it makes sense to virtualize.
At the end of the day, each project requires careful, individualized assessment of technology resources as well as business requirements.
Why should an enterprise create a virtualization strategy, and what are the key elements of such a plan?
Implementing a virtual environment requires thorough planning and can become overwhelming unless administrators have the proper knowledge and tools available. Customers should outline a strategy at the outset of a virtualization project to ensure that they will achieve maximum benefits from the deployment.
Key elements of a plan should address:
The fourth member of the I.D. Family features Level 5 automation and artificial intelligence
Wolfsburg/Geneva, (March 5 2018) — Starting in 2020, Volkswagen will be launching the I.D. Family, a range of newly-developed electric vehicles with long driving ranges and visionary design that will come to market in quick succession. Three I.D. models have already been presented as concept cars: the compact I.D.; the I.D. CROZZ SUV; and the I.D. BUZZ microbus. At the Geneva International Motor Show, Volkswagen will present the newest member of the I.D. Family: the I.D. VIZZION sedan. It drives autonomously, is operated by voice and gesture control, and thanks to artificial intelligence, will be capable of learning.
In a vision of what may be possible by the year 2030, the I.D. VIZZION’s ‘digital chauffeur’ assumes control of the vehicle—without a steering wheel or visible controls. The concept car drives, steers and navigates autonomously in traffic, enabling passengers to sit back and enjoy the ride. A virtual ‘host’ knows the personal preferences of the vehicle guests and it adapts to each of them individually. Interaction with the I.D. VIZZION is possible via augmented reality and newly designed mixed reality eyewear—the HOLOLENSTM developed by Microsoft®.
The I.D. VIZZION concept car is one of the first cars to have the potential of artificial intelligence incorporated into its concept. Artificial intelligence (AI) refers to programs capable of self-learning by using algorithms to recognize, evaluate and interpret patterns. Over time, these systems continue to learn more, which enables them to react to new situations.
Currently, developers define comprehensive program code that describes all aspects of system behavior. For example, Volkswagen’s Lane Assist feature uses a conventional, model-based program which precisely describes mathematical parameters for the visual recognition of lane markings. In the programing, the developers must also incorporate all sorts of deviations—such as missing or interrupted lane markings—so that they can handle all conceivable scenarios. The optical information supplied by the front camera is then compared with the mathematical description of lane markings, and if they agree Lane Assist is activated and ready to intervene.
Programs are now being trained, however, to learn very complex parameters. In this training process, they learn to deduce unknown facts based on machine learning. At Volkswagen, machine learning is being used in determining the vehicle environment by the use of peripheral cameras. For example, the cameras must recognize whether they are ‘seeing’ a truck, passenger car, pedestrian or bicycle rider. To achieve this, developers feed an image recognition algorithm with thousands of pieces of training data – images of trucks, passenger cars, pedestrians and bicycle riders. It trains with images to distinguish between the different road users. This enables the implementation of new functions.
Artificial intelligence requires a program that can draw its own conclusions autonomously, which allows it to make its own decisions. The automobiles of tomorrow will operate with far fewer control elements, and with controls that can be operated fully intuitively. Assistants like the system integrated in the I.D. VIZZION adapt more perfectly to its users from day to day. The system recognizes their needs and tastes—such as seat and air conditioning settings and their favorite playlists—and activates them autonomously as a function of the context and situation. Hardware and software will be optimally synchronized by the Volkswagen car’s artificial intelligence. For autonomous driving, this also includes the essential laser and radar sensors, cameras and electronic control units. They independently share the data and derive the right driving manoeuvre based on their own decisions.
Fully Autonomous Driving
With the I.D. VIZZION, Volkswagen is showing the maximum extension stage of automated driving. The levels of automation are subdivided into five levels. From Level 4, the multiple redundantly designed technologies for automated driving are so intelligent that a driver is no longer needed. Nonetheless, cars operating at Level 4 still have a steering wheel and cockpit inside, and the user can choose to drive it conventionally as well.
The I.D. VIZZION is designed for Level 5, so it drives exclusively as a fully autonomous vehicle. Consequently, there is no longer any need for a driver’s seat, steering wheel, dash panel or foot pedals. The I.D. VIZZION detects its environment via inter-connected laser scanners, ultrasonic sensors, radar sensors for objects in the near-zone and radar sensors for long distances, front and rear cameras and side area view cameras. Traffic data is also continually obtained via the cloud and is compared with the data in the I.D. VIZZION. Future networking of vehicles with one another will also enable the Volkswagen car to utilize the swarm intelligence of the immediate surroundings and the larger environment (Car-2-Car and Car-2-X). In addition, the I.D. VIZZION integrates high-resolution digital maps into navigation.
Electric all-wheel drive
The drive system components of the MEB architecture—two motors, two transmissions, the electronics that link everything together and the high-voltage battery—are optimally incorporated into the I.D. VIZZION package.
The lithium-ion battery has an energy density of 111 kWh and is housed in the vehicle floor. This creates more interior space, lowers the center of gravity and ensures ideal weight distribution. The same applies to the two electric motors on the front and rear axles. The motor in front is a 101-hp coaxial drive, and a compact 201-hp motor is used at the rear. They develop a total system power of 302 hp and drive their respective axles directly. Intelligent drive control ensures optimal handling properties in every situation.
The I.D. VIZZION concept has an anticipated range of up to 413 miles on the European cycle. The power electronics are a crucial link for controlling the flow of high-voltage energy between the motors and the battery. The power electronics convert the direct current (DC) stored in the battery into alternating current (AC). The ideal method for charging the battery is over an inductive interface. But conventional charging via a plug is also possible with the Combined Charging System (CCS), charging stations or conventional electrical sockets.
The proportions of the I.D. VIZZION differentiate it from comparable production vehicles in the premium class. The wheelbase (122.0 inches) and roof are extremely long, while the front and rear overhangs are short. This creates more space than in today’s premium sedan models. In addition, the I.D. VIZZION sets new standards with its refined aerodynamics. The concept car is 203.3 inches long, 76.7 inches wide, and 59.3 inches tall.
From the front, the I.D. VIZZION creates a dynamic look with its front fascia, which is extremely low in the middle, and its fenders that rise sharply to the sides. Light also dominates the front-end design, with a white, illuminated VW badge, which develops into a white, animated light axis. As soon as the I.D. VIZZION recognizes one of its passengers via electronic key or a facial scan, this light axis flows over the side of the body and the white-illuminated door handles and into the rear body.
The lighting concept is designed to be interactive. For example, active lighting elements in the front end adapt to the environment of the vehicle according to the driving situation. The I.D. VIZZION uses HD Matrix lights—a first for Volkswagen. These intelligent dipped beam and main beam headlights operate with 8,000 light pixels. In the future, these dots of light can be used to project symbols and displays in front of the car. These could be the virtual ‘zebra stripes’ of a pedestrian crossing, signaling to pedestrians that the I.D. VIZZION has recognized them, and is stopping to let them cross the road safely.
In profile, the I.D. VIZZION is simple, yet elegant. The coupe-like roofline of the concept car extends past the wheelarches in the rear, creating the silhouette of a GT. The side sections are eye-catching with their seamlessly designed surfaces. Even the windows are completely flush with the body panels, making the greenhouse visually merge more with the shoulder and side sections of the body. Suicide doors dominate the space between the aerodynamically designed 24-inch wheels. They open electrically in opposite directions at up to a 0-degree angle. This, and the lack of B-pillars, enables exceptionally easy egress.
The rear, with its sharp trailing edge, has ideal aerodynamic properties. Instead of a conventional trunk lid, an electrically actuated rear hatch swings upward, giving access to a 20.0 cubic-foot trunk. Like the rest of the concept car, the rear also exhibits clean and expressive styling. The white light axis is present at the rear too. This low-profile strip of LEDs wraps into the sides of the car and the rear fenders, emphasizing the width of the I.D. VIZZION. Immediately above, a red LED strip provides tail and brake light functions. The rear window doubles as a gigantic OLED display, allowing it to become a third brake light. As braking intensifies, the brake light enlarges interactively from bottom to top.
The I.D. VIZZION has an interior which enables a new dimension in travel. Since the I.D. VIZZION is conceived for fully autonomously driving, there is no need for a traditional driver’s seat with cockpit. Therefore, the space was designed create a lounge-like atmosphere. Four ergonomically balanced seats form the center of this world. Footrests invite guests to relax, and a bright atmosphere is created with large side windows and a continuous panoramic sunroof that runs from front to rear. To ensure that the transparency of the space is not too great, the glass surfaces can be darkened electronically. At maximum darkening, the privacy glass is nearly opaque.
The car has no dash panel, as the concept vehicle is primarily operated by gesture and voice control. In addition, all guests aboard the I.D. VIZZION can, if they wish, use a HOLOLENS which projects a virtual interface into the real space by augmented reality. However, there are still two rotary/pushbutton controls on the center console of the I.D. VIZZION (one front, one rear) to enable the intuitive manual control of functions such as entertainment volume control. These controls can also fully stop the concept car.
The virtual host recognizes its occupants by biometric facial recognition or electronic device, such as a smartphone, and is able to call up settings from the cloud via the Volkswagen ID, automatically adjusting the settings for individual occupants. The profile for the Volkswagen ID can control parameters such as seating, lighting, climate control, infotainment (including streaming services) and scents.
In addition, the virtual assistant reacts predictively to a wide variety of events and relevant points of interest. For example, if the car is approaching a traffic jam that cannot be avoided, the interactive assistant automatically communicates the new arrival time for the given destination. If there is a cafe along the route, which one of the guests would like to make use of, the assistant asks whether it should drive to the cafe or perhaps order a coffee to go and pay for it. The car can also be interconnected with all conceivable digital devices, including fitness trackers. Via these and/or the HOLOLENS, the I.D. VIZZION tracks the vital parameters of its passengers. For example, if it notices that someone is too hot, it adjusts the temperature downward for the area of that passenger via indirect ventilation of the four-zone automatic air conditioner.
Three different travel modes can be activated on-board via the personal assistant: Relax, Active, and Family. In the Active mode, for example, the passenger can sit as usual, work, communicate, play and call up information on the drive. As soon as a guest activates Relax mode, a footrest extends out, relaxing music is played, and the ambient lighting switches to a warm color. In addition, various scenarios can be called up via the HOLOLENS. They include the digital Business, Navigation, Entertain, Communication, and—especially for any children on-board—Learning modes. The projections that are customized for each mode are shown in the user’s visual field as augmented reality via the HOLOLENS. The Business mode, for example, makes it possible to participate in meetings by video chat or easily process e-mails and presentations. In Learning mode, children can call up games and learning apps.
By Kevin Komiega
-- Cisco's introduction of the Unified Computing System (UCS) and its entry into the server market sparked a new arms race in the IT industry and has forced the heavy-hitters -- storage, server and networking vendors alike -- to come up with new strategies for data center convergence.
The benefits of unified computing platforms are clear: centralized management and provisioning of virtual resources on-the-fly while reducing physical infrastructure and overall cost.
The potential drawbacks, however, cannot be overlooked. According to industry analysts, users face the threat of vendor lock-in and storage vendors have a decision to make: pick a side.
Arun Taneja, founder and consulting analysts with the Taneja Group research and consulting firm, concedes that there are advantages to unified computing, but he's very leery of the downside.
"Certain advantages accrue when you have that level of control over the vertical stack, from the application to the spindle, but the negatives far outweigh the positives," says Taneja.
IT managers are accustomed to buying best-of-breed products and are confident that they have some leverage at the negotiating table. However, Taneja is fearful that power may evaporate if unified computing platforms take hold.
"It took us 25 years to move to a best-of-breed scenario in the data center. Now there are established standards for the interfaces between applications and systems. The moment you go the other way, a vendor would have enough power to say ‘I'm going to do something proprietary between these components or subsystems to get a 25% increase in performance.' Users get locked-in in that scenario," says Taneja.
Storage vendors represent an important piece of this puzzle as they may determine which way the pendulum swings.
"If the shift to unified computing happens, storage vendors are going to have to pick sides, and by picking sides they essentially become subservient to the larger vendor," Taneja said. "What the big vendors are saying to storage vendors is: We are going to create the platform and you better decide which side you're on."
Each of the vendors making a push into unified computing has a piece, or pieces, of the stack and is plugging portfolio gaps with technology from partners.
CiscoCisco's UCS combines compute, network, storage, and virtualization resources in a single system based on a line of blade and rack-mount servers developed by Cisco.
Cisco's servers are based on Intel's Nehalem processors and feature "extended memory technology" to support applications with large data sets and virtual machines (VMs). The network connectivity for UCS is provided by Cisco's Nexus family of switches, and is based on lossless, 10 Gigabit Ethernet (10GbE), enabling a unified fabric that consolidates LAN and SAN traffic on a single wire, which reduces the number of network adapters, switches and cables and decreasing power and cooling requirements.
The system can access storage via Fibre Channel, Fibre Channel over Ethernet (FCoE) or iSCSI. Additionally, users can pre-assign storage access policies for system connectivity to storage resources.
Cisco has recruited EMC, NetApp and VMware, among others, to provide the storage and virtual machine technologies that round out the UCS platform's capabilities.
HPHP retaliated with its Converged Infrastructure Architecture, which includes a set of associated services and partner offerings aimed at creating a virtualized, on-demand data center.
The Converged Infrastructure Architecture integrates and virtualizes compute, storage, networking and management resources based on several HP technologies, most notably BladeSystem Matrix, FlexFabric and Virtual Resource Pools.
Using HP's Virtual Resource Pool technology, modular standards-based systems can be provisioned on-demand to support enterprise, cloud and high performance computing (HPC) applications.
The underlying storage for Virtual Resource Pools is supplied by HP's StorageWorks arrays, including the StorageWorks X9000 Network Storage System family, a series of scale-out systems based on technology from the acquisition of Ibrix.
HDSThe most recent entrant into the fray, Hitachi Data Systems (HDS) is planning to ship the Hitachi Unified Compute Platform in early 2011. Like the others, the HDS platform offers the combined management of compute, networking, storage and applications. The management layer will be made possible through an OEM deal with Microsoft, under which HDS will distribute Microsoft Windows Server 2008 R2, the Microsoft System Center suite and Microsoft SQL Server 2008 software.
The Hitachi platform will combine HDS software, storage and server products with Microsoft's System Center infrastructure software, Hyper-V virtualization technology and SQL Server database, as well as networking products to serve up an automated, virtualized, "cloud-ready" platform, according to Miki Sandorfi, HDS' chief strategist for file and content services.
The hardware includes the Hitachi Universal Storage Platform V (USP V), Hitachi blade servers, and Fibre Channel and Ethernet networking gear from HDS partners.
DellDell has a different take on the next generation data center. Dubbed Virtual Integrated Solution, or VIS, Dell's offerings include storage hardware, software and data management services based on open systems technology.
The solution can be composed of new or existing server, storage and networking technologies tied together with an offering called Dell Advanced Infrastructure Manager (AIM). The AIM solution dynamically allocates hardware and software resources based on workload demands. For example, VIS may include Dell servers, Juniper switching and Dell-EMC storage all tied together with AIM.
Dell is bringing to bear stacks made up of hardware, software and services aimed at managing internal IT and cloud computing environments. For Dell, it's about tying legacy systems together with the latest server, storage and systems management technologies with an open systems approach.
"It's easier for the OEM to build a fully integrated system, but the industry doesn't slow down. If we made a fully integrated, Dell-only solution it would pretty quickly no longer be best-of-breed," says Paul Prince, CTO of Dell's Enterprise Product Group.
OracleOracle appears to be the one vendor with the entire IT stack in its arsenal, including applications, middleware, virtual machine technology, servers, storage, and database and operating system software.
Oracle's offering – the Exadata Database Machine – is a pre-packaged hardware and software system complete with operating system software, virtual machine (VM) technology, and servers and storage from Sun.
Oracle's president, Charles Phillips, has made it clear that the company is out to change the way IT is engineered, integrated and delivered to customers.
"This industry has a long history of building systems in a very labor-intensive, manual way.," Phillips said. "They are very unpredictable, very unreliable and expensive to maintain and implement. Why don't we do all that up front at the factory?"
Phillips believes it's time to get back to the ways of IBM in the 1960's by building complete compute environments. "We are going to recreate that reliable environment from years ago, but we are going to do it with an open systems platform."
If Phillips' view on the industry is correct, customers might be ready to embrace the one-stop-shop all over again. Tight purse strings always play a role in the purchasing process and the prospect of discounts through consolidation is alluring, especially in times like these.
According to Andrew Reichman, a senior analyst with Forrester Research: "There is definitely a desire to aggregate purchases. Consolidating more purchases may [yield] better discount percentages and support. Infrastructure is not black or white. There are shades of lock-in no matter what you do. The key is to be aware of it and keep an exit strategy in mind."
Related Articles:NetApp, Cisco, VMware collaborate on the cloudEMC, Cisco, Vmware cause waves with cloud coalitionCisco-HP partnership implodesHDS teams with Microsoft for unified compute platformHP strikes back with Converged Infrastructure ArchitectureDell jumps into object-based storageOracle becomes one-stop-shop with Sun storage, serversOracle-Sun ends HDS partnership
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