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P2065-016 IBM IOC Intelligent Transportation Technical Mastery Test v1

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Test Code : P2065-016
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IBM puts its 'smart metropolis' technology in one kit | Real Questions and Pass4sure dumps

IBM places its 'sensible city' expertise in a single kit
  • by means of Rutrell Yasin
  • Jun 07, 2011
  • IBM, drawing on some 2,000 "sensible metropolis" tasks it has labored on in contemporary years, has launched its clever Operations center for Smarter Cities, an answer designed to support cities of all sizes get an integrated view of advice throughout metropolis departments and companies.

    The clever Operations center combines analytics applied sciences created by IBM analysis working with cities all over, reminiscent of a present mission in Rio de Janeiro, Brazil, along with these received in recent acquisitions.

    metropolis managers can follow the expertise through a unified operations center to accurately accumulate, analyze and act on counsel about metropolis systems and services; analyze real-time counsel to improved model and anticipate complications; and combine true-time information from throughout varied metropolis programs to foster collaborative choice-making, IBM officials stated.

    “Cities will improvement from a logically principal way of realizing their information, of coming to the conclusions about which analytics to use, of the usage of these analytics and visualizing those effects,” said Mark Cleverley, IBM’s director of public security solutions.

    The operations middle doesn't always have to be a physical core. It generally is a digital portal with dissimilar points of entry, Cleverley talked about. The principle at the back of the concept is to provide municipalities with a set of pre-packaged products that support cities profit a holistic view throughout departments and organizations, he pointed out.

    The purpose is to support cities of all sizes use analytics more easily to make clever choices in line with enhanced first-class and timelier suggestions. city managers can entry tips that crosses boundaries, so that they’re now not focusing on an issue within a single domain. they could beginning to suppose about how one agency’s response to an event influences other agencies, Cleverley stated.

    native leaders can manipulate a spectrum of routine, each deliberate and unplanned, similar to deploying water upkeep crews to fix pumps earlier than they wreck, alerting fireplace crews to broken fireplace hydrants at an emergency scene, or waiting for traffic congestion and making ready redirection situations.

    As metropolis managers consolidate IT infrastructures to cut expenses and in the reduction of duplication, they're inserting greater of a spotlight on working smarter cities. Gaining a holistic view of city operations is a wave of the long run, mentioned Thom Rubel, vice chairman of research at IDC government Insights.

    IDC estimates the new smarter cities IT market probability at $34 billion in 2011, expanding greater than 18 percent per year to $fifty seven billion by way of 2014.

    IBM plans to construct on the groundwork of IOC, offering pre-designed capabilities to herald advice from distinct metropolis domains, such as power, health, public works, public security, transportation and water.

    IOC is not whatever IBM has pulled out of a hat however quite “is based on real challenge-primarily based journey,” Cleverley talked about. IBM is making use of the most fulfilling practices and options the enterprise has gleaned from greater than 2,000 smarter cities engagements.

    for example, officers in Rio de Janeiro are working with IBM on a multimillion-dollar plan that contains a city Operations center to support meteorologists, geological surveyors, box operations and safety work collectively to velocity up emergency responsiveness. After a series of floods and mudslides claimed the lives of a hundred people in April 2010, city officials recognized the should drastically overhaul metropolis operations, a huge step also in getting ready for the realm Cup in 2014 and the Olympics in 2016.

    The Rio de Janeiro core integrates tips from distinct government departments and public organizations to enhance metropolis security and responsiveness to a considerable number of forms of incidents, including in the neighborhood important flash floods and landslides.

    As a part of the settlement, IBM analysis scientists have developed a excessive-resolution climate forecasting and hydrological modeling equipment for Rio de Janeiro, that can predict heavy rains as much as forty eight hours in increase.

    The Rio de Janeiro core is an genuine physical vicinity. "we're engaged on a cloud-based mostly edition of [IOC] so it received’t always deserve to be on premise,” besides the fact that children most cities will want it on premise, Cleverley mentioned. A cloud computing mannequin can be appealing to reduce-tier cities with fewer economic and IT elements, he delivered.

    IBM is organising a neighborhood of enterprise partners with a view to strengthen complementary solutions with potential in areas corresponding to structure and water management, contraptions including video cameras and sensible meters, and city services utility. companions working with IBM encompass: AECOM, Badger Meter, ESRI, Telvent, Veolia Water North the usa and VirtualAgility.

    The intelligent Operations middle for Smarter Cities cost is stylish on the amount of integration required, variety of clients, how it is deployed -- shared, cloud, etc -- and the measurement of the city.

    in regards to the writer

    Rutrell Yasin is is a freelance expertise writer for GCN.

    IBM pursuits $57B market with new 'wise city' kit | Real Questions and Pass4sure dumps

    IBM targets $57B market with new 'wise city' kit
  • by way of Rutrell Yasin
  • Jun 07, 2011
  • IBM Corp. has developed a brand new providing in accordance with its work with local governments and it going after what is usually a $57 billion market.

    big Blue, drawing on some 2,000 "wise metropolis" initiatives it has worked on in recent years, has launched its clever Operations core for Smarter Cities, an answer designed to support cities of all sizes get an built-in view of suggestions across city departments and agencies.

    The clever Operations middle combines analytics applied sciences created by means of IBM analysis working with cities everywhere, comparable to a existing project in Rio de Janeiro, Brazil, together with those bought in recent acquisitions.

    IDC executive Insights estimates the brand new smarter cities IT market probability at $34 billion in 2011, expanding greater than 18 p.c per yr to $57 billion with the aid of 2014.

    city managers can observe the expertise via a unified operations core to accurately accumulate, analyze and act on information about city programs and capabilities; analyze real-time counsel to more advantageous model and count on complications; and integrate precise-time assistance from across numerous metropolis methods to foster collaborative decision-making, IBM officials spoke of.

    “Cities will advantage from a logically critical manner of realizing their statistics, of coming to the conclusions about which analytics to make use of, of using these analytics and visualizing those effects,” referred to Mark Cleverley, IBM’s director of public protection options.

    The operations core does not always must be a physical middle. It generally is a virtual portal with distinct elements of entry, Cleverley pointed out. The precept at the back of the theory is to supply municipalities with a set of pre-packaged items that support cities benefit a holistic view across departments and companies, he talked about.

    The intention is to assist cities of all sizes use analytics extra effectively to make clever selections based on more desirable high-quality and timelier suggestions. metropolis managers can entry advice that crosses boundaries, in order that they’re not specializing in a problem inside a single domain. they could delivery to believe about how one agency’s response to an experience influences other organizations, Cleverley pointed out.

    native leaders can manage a spectrum of events, both planned and unplanned, reminiscent of deploying water renovation crews to fix pumps before they damage, alerting hearth crews to broken hearth hydrants at an emergency scene, or looking ahead to traffic jam and preparing redirection scenarios.

    As metropolis managers consolidate IT infrastructures to cut fees and reduce duplication, they are placing extra of a focus on operating smarter cities. Gaining a holistic view of metropolis operations is a wave of the long run, observed Thom Rubel, vp of research at IDC executive Insights.

    IBM plans to construct on the foundation of IOC, providing pre-designed capabilities to herald assistance from diverse metropolis domains, akin to power, fitness, public works, public security, transportation and water.

    IOC is not anything IBM has pulled out of a hat however quite “is centered on actual venture-primarily based experience,” Cleverley talked about. IBM is applying the superior practices and solutions the business has gleaned from greater than 2,000 smarter cities engagements.

    as an example, officials in Rio de Janeiro are working with IBM on a multimillion-dollar plan that contains a city Operations middle to aid meteorologists, geological surveyors, field operations and security work together to speed up emergency responsiveness. After a series of floods and mudslides claimed the lives of one hundred americans in April 2010, metropolis officials recognized the deserve to drastically overhaul metropolis operations, a large step additionally in preparing for the area Cup in 2014 and the Olympics in 2016.

    The Rio de Janeiro middle integrates guidance from assorted govt departments and public businesses to improve city security and responsiveness to quite a lot of forms of incidents, together with in the community vital flash floods and landslides.

    As part of the settlement, IBM research scientists have developed a excessive-decision weather forecasting and hydrological modeling system for Rio de Janeiro, which could predict heavy rains as much as forty eight hours in enhance.

    The Rio de Janeiro core is an genuine actual vicinity. "we're working on a cloud-based mostly version of [IOC] so it won’t always deserve to be on premise,” youngsters most cities will desire it on premise, Cleverley noted. A cloud computing mannequin would be appealing to reduce-tier cities with fewer economic and IT elements, he added.

    IBM is establishing a group of company partners that will strengthen complementary options with skills in areas corresponding to architecture and water administration, contraptions together with video cameras and wise meters, and metropolis capabilities utility. companions working with IBM include: AECOM, Badger Meter, ESRI, Telvent, Veolia Water North america and VirtualAgility.

    The intelligent Operations center for Smarter Cities charge is elegant on the amount of integration required, number of clients, how it is deployed -- shared, cloud, and many others -- and the size of the metropolis.

    in regards to the writer

    Rutrell Yasin is is a contract technology author for GCN.

    An working equipment for cities: How IBM plans to make your metropolis smarter | Real Questions and Pass4sure dumps

    reducing emergency response instances in Rio de Janeiro by using 30 %? reducing pollution in San Francisco’s Bay area? getting rid of traffic congestion in Lyon, France?

    those are all things which you could do … in case you make your metropolis smarter.

    IBM calls it clever Operations middle (IOC), and during the past three years has led over 2,000 tasks to “display screen, measure, and manage metropolis functions comparable to water systems, public security, transportation, hospitals, electricity grids, and buildings.” just this past week, the company introduced new tasks in South Bend, Indiana, Davao, Philippines, and Lyon, France.

    In each of them, the enterprise can be working so as to add sensors to popular infrastructure, set up application to combine and manipulate the big inflow of statistics, and provide city officers with the advice and intelligence they need to run their cities more desirable. optimistically, the effect can be superior, greater livable, and extra sustainable city environments.

    VentureBeat spoke to Chris O’Connor, IBM’s vice president in charge of engineering and sensible metropolis items, to find out what makes IOC tick. And to gain knowledge of what could be the future of sensible cities … an operating device for truth.

    Lyon, France

    Above: Lyon, France

    photo credit: ShutterStock

    VentureBeat: What’s blanketed in a “metropolis operating system?”

    O’Connor: There are two foremost things. In each area (for example policing, social services, or transit), you want to take the digital assistance and make that domain very productive and trained.

    Secondly, you move-join the organizations, linking silos of tips that don’t always work together at the moment. for instance, you hyperlink the allowing technique and your fire, transit, and ambulance techniques, which would can help you create dynamic allows for particular hobbies. Or, you could take one set of property, like cameras, and use them for both transportation and policing. This enables corporations to work collectively in groups in emergencies.

    VentureBeat: What forms of sensors are they talking about spreading through their communities?

    O’Connor: within the closing 5 to seven years, every thing comes with statistics: water meters, all mechanical programs like elevators, site visitors sensors, stop lights, toll compartments, busses, taxies. Even law enforcement officials with hand scanners giving parking tickets.

    Then there’s delicate information, like tweets or repute updates.

    And, of route, there are defense sensors: water safety, chemical detection, and so forth.

    Rio de Janeiro

    Above: Rio de Janeiro, Brazil

    VentureBeat: How do the sensors talk?

    O’Connor: The underlying fundamental flow occurs over information superhighway protocols. The language can differ largely but is always consolidated by using type (for instance, transportation devices all speak identical languages). Water techniques are the equal manner. Policing protocols as smartly.

    There is a few degree of open specifications … efforts and specifications their bodies attempting to unify them. The focus up till now has been to get the domains to have a common language.

    but the next generation is to create some general requirements, or at least commonplace interaction protocols. They participate in requirements their bodies around that.

    VentureBeat: What working systems do the sensors run? Android, Linux?

    O’Connor: It varies pretty widely counting on seller. Many run some variety of Linux or some taste of an embedded OS. Some run very small, proprietary items of micro-code.

    VentureBeat: So what does IBM do … what’s your function?

    O’Connor: Our role is tying the advice flows together and growing a standard tips model, allowing the organizations to interact.

    We do have a microelectronics division that does work with most of the carriers and helps build the sensors.

    VentureBeat: What are the important thing things you’re announcing nowadays?

    O’Connor: I suppose of three main aspects within the three cities, and every metropolis drives a different aspect. All three of them will use the clever Operations core. it is the product that's designed to ingest suggestions and make it vital.

    South Bend, IN

    Above: South Bend, IN

    picture credit score: ShutterStock

    Davao, a Philippine metropolis, is using IOC to hyperlink two businesses collectively: emergency response and transportation. What it does is give them greater coordinated response and the potential to run emergency ops with normal operating techniques and enable the transportation authorities to take part in that at the same time. That’s an example of pass-companies coming collectively.

    The 2d one is with one among their company companions referred to as Veolia. Veolia is working with the city of Lyon, France, the usage of the operation core with one of the vital transportation modules to be capable of instrument transportation inside the metropolis. What’s colossal about here's that IBM isn’t best selling to cities, we’re promoting to partners whose expertise is transportation or water, and they’re delivering this skill on their personal.

    And the third case — it’s very interesting and it’s been up and running for some time — is South Bend, Indiana. South Bend is using this for water administration, waste water, to support them greater flow the water through the city … and deal with the storm runoff that will also be very severe in that metropolis now and then. as a substitute of purchasing the application, they’re the use of it within the cloud.

    They ship their data into the IBM cloud, the IBM cloud runs the operations center, and they then log onto the IBM operations core to have the cloud journey without needing to installation or buy the application themselves. It’s a apartment model to be able to use the cloud to get the sensible cities experience. Very inventive approach.

    VentureBeat: Are there open supply city “working techniques?”

    O’Connor: There are open source components to be able to provide some analytics and emergency administration. they have adapters that let these connect in. They don’t necessarily open supply all of their utility, however we've an open programming model that any one can write to.

    So as an instance in South Bend, they’ve spread out the IOC to the school of Notre Dame. The faculty and the group of workers and the researchers at Notre Dame can use the programming mannequin to create whatever thing category of analytics, something classification of experience management, whatever dashboards they’d want on suitable of it, and their programming mannequin is absolutely open from that factor of view.

    graphic credit: manhattan/ShutterStock, Lyon/ShutterStock, Rio de Janeiro/ShutterStock, South Bend/ShutterStock

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    homomorphic encryption data security in the cloud Cloud Security homomorphic encryption and cloud security Homomorphic Encryption and Cloud Security: The PracticalitiesThis article focuses on homomorphic encryption techniques and what they can mean in practice for cloud computing in the next few years; it is not a mathematical primer.

    Suppose you want to hire someone to do a job for you, but you suspect she might leak sensitive details of your business to your enemies. The immediate solution: don’t hire her. But real life is often not so clear cut. Your prospective employee may be very good at a particular job, and you don’t want to lose her skills; while the risk that she turns bad may be low and you need the job done.

    This general real life problem has had many solutions over the centuries. People have written contracts with confidentiality clauses, threatened court action, come up with rules for the workplace, tried to instill pride in their workforce, and sometimes they’ve even begged for good behavior.

    One particularly nice concept: suppose you could give the job to the talented lady, but seal it in an opaque black sack. She wouldn’t be able to see inside, but would manipulate pieces by putting her hands into the dark sack to get the job done. This way, she would use her talents without discovering your secrets.

    The disadvantage is obvious: very few jobs can actually be done blindly, without knowledge and mutual trust. But there are real life examples of the black bag approach. For example, spies work in “cells” designed so that they know as little as possible about other “cells.”

    Cloud computing can suffer from some of the problems they described above. Suppose you have sensitive data information:  health data, financial data, or military secrets. And imagine you need to use a cloud “as a service” solution that takes your data and produces a report. The goal is to compare all the pieces of data and find the “important flukes.” In healthcare, an important fluke could be overpayment for a patient’s treatment. In finance, it could be a credit card fraud event. In the military, it could be data about a cyber-attack hiding between normal pieces of data.

    In each of these cases, the “normal” data is sensitive: health, money, “normal” military activity. Still, for valid reason, you cannot do the analysis yourself in your own “secure” space. Somebody else has the expertise to do this particular analysis for you, and is using cloud computing because the job involves massive amounts of computational power.

    Your find yourself with sensitive data in a cloud, on servers you do not own, and a programs running there which you may not own either.

    Cloud encryption is always about hiding secrets.

    You take a bunch of readable data and make it unreadable by scrambling the characters and numbers in the data so they don’t make sense. Only someone who has the “encryption key” can reverse the process, decrypt the data, and make it readable again. A typical decryption key could be 64 random characters long, yet by using known encryption techniques (like AES, “Advanced Encryption Standard”), that key can make terabytes completely scrambled and unreadable. Only if you have those 64 characters, the key, can you reverse the process and make the terabytes readable again.

    In their case, however, there is a twist.  They want the data to be completely unreadable, but they want the program mentioned before (the one running on servers you do not own and doing a job that requires expertise and computing power the cloud provides) to be able to do its job.

    Ideally, they want the program to do its job on data that is always encrypted (and remains encrypted) and successfully come up with a useful result.

    Homomorphic encryption makes this possible.  Homomorphic encryption is a set of encryption techniques that will scramble the data based on a key, but allow a program to do some useful work on the unreadable encrypted data. The program cannot understand the data, but it can do something useful on it, without giving it away: an opaque black sack for cloud computing.

    People have started figuring out useful things that can be done to encrypted data by taking a practical approach. Instead of saying that anything can be done in the black sack, people are starting out by saying that something can be done. Here are some examples of “something:”

  • A specific statistical function, perhaps taking the average of two numbers.
  • Both numbers are encrypted and the result is also encrypted. Only the holder of the encryption key can know the real values of the numbers and the result. However, a machine in the cloud can take the encrypted values and average them, sending an encrypted result back to the “owner.” The owner can then decrypt that result back at home.

  • Searching a person’s genome data to find whether that person has a specific gene that is especially harmful to health while protecting privacy.
  • The data that describes the genome is encrypted as is the description of the specific gene being searched. Both are uploaded to the cloud servers and the result comes back: the gene is either found or not. But only the person who owns the encryption key knows the genome (and the identity of the human being with that genome); and only they know what they were looking for. Was it a gene that may signal cancer? Or perhaps a gene that may signal high blood pressure? Only they know.

    Techniques like these have been described in academic literature. They have not yet been commercialized, but they can really work. You’ll notice that the researchers have been smart.  They focused on a useful and specific problem that can most likely be solved. This is sometimes called “partially homomorphic encryption” and sometimes called “somewhat homomorphic encryption” because the scheme is constructed with one focused goal in mind. It doesn’t try to solve everything.

    A more ambitious approach is fully homomorphic encryption (FHE). The Holy Grail is to encrypt any data for any purpose, so that a program running on cloud servers could do almost anything to the data and generate useful results. But only the owner of the data could actually understand the data and understand the result, because only the owner has the key. The running cloud servers would run on encrypted data and produce an encrypted result.

    This would be great to have. Recently, Gentry made progress in this field by showing that any function that is made up of additions and multiplications can be computed on homomorphically encrypted data, using what has naturally become called the Gentry scheme.

    “Any combination of additions and multiplications” really is quite a lot – in fact almost any math function can be broken down into additions and multiplications, so Gentry’s result is quite strong.

    However, there are some practical limitations that have thus far, stopped us from using FHE. One is performance; which can be billions of times slower than the “somewhat” or “partial” approach. Though it is currently being worked on, a big gap persists.

    Another limitation to FHE is the kind of problem it can solve. Suppose you wanted to use FHE with a medical expert system. Such systems work more with questions and answers then with addition and multiplication. They try to diagnose a disease based on gathering patient information, applying some logical rules and then asking more questions. This is a logical process and a major part of it is interactive – asking questions and learning. The best of these systems also constantly change their rules, as they learn more about how patients and diseases really work. Is a learning system based on rules and interactive back-and-forth questions and reasoning – easily broken down into addition and multiplication?

    So FHE has limitations based on performance and limitations based on type of problem it might solve.

    The world’s first commercial implementation is Homomorphic Key Management, a “partially homomorphic” approach. Homomorphic Key Management is focused on the specific problem of encrypting the encryption keys themselves and keeping them safe and secret in the cloud, while still being able to use them for encrypting data. This work was done by Porticor in 2011-2012 and a commercial product entered the market at the end of 2012.

    Several academic teams are now working on bringing additional “somewhat homomorphic” approaches to market, though as far as they know, none other has yet been commercialized. They hopefully look toward the coming years to produce commercial results relevant to the study of many fields, such as genomics and specific computations within databases.

    In parallel, Academia continues to work hard on making FHE more efficient.

    The post Homomorphic Encryption and Cloud Security: The Practicalities appeared first on Porticor Cloud Security.

    AOP, IoC, and OO Design Patterns Without Frameworks | real questions and Pass4sure dumps

    No result found, try new keyword!Decoupling with IoC Pattern So far, everything is pretty simple and straightforward ... For demonstration purposes, let's assume this class has a business method, someBizMethod(). To test this class, ...

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