CA, Inc., formerly Computer Associates International, Inc., is one of the largest independent software corporations in the world. CA for short, is an American, multinational, publicly held company headquartered in New York, New York. The company creates systems software that runs in mainframe, distributed computing, virtual machine and cloud computing environments.Although the company once sold anti-virus and Internet security commercial software programs for personal computers during its venture into the business-to-consumer market, it remains primarily known for its business-to-business mainframe and distributed information technology infrastructure applications since the spin off of their security products into Total Defense. CA Technologies claims that its computer software products are used by a majority of the Forbes Global 2,000 companies.CA Technologies posted $4.4 billion in revenue for fiscal year 2010 and maintains 100 offices in more than 45 countries. The company employs 13,200 people , including 5,900 engineers in software development. CA holds more than 400 patents worldwide, and has more than 700 patent applications pending.In 2010 the company acquired eight companies to support its Cloud strategy: 3Tera, Nimsoft, NetQoS, Oblicore, Cassatt, 4Base Technology, Arcot Systems, and Hyperformix. Wikipedia.
News Article | April 24, 2017
Latest niche market research report on "Global Data Masking Technology Market Size, Status and Forecast 2022" published at OrbisResearch.comDallas, United States - April 24, 2017 /MarketersMedia/ — This report studies the global Data Masking Technology Market, analyzes and researches the Data Masking Technology development status and forecast in United States, EU, Japan, China, India and Southeast Asia. This report focuses on the top players in global market, like Informatica Corporation CA Technologies Camouflage Software Delphix Corp IBM Corporation Compuware Corporation Net 2000 Oracle Corporation Hewlett Packard Enterprise Market segment by Regions/Countries, this report covers United States EU Japan China India Southeast Asia Request a sample @ http://www.orbisresearch.com/contacts/request-sample/272539. Market segment by Type, Data Masking Technology can be split into ETL In-Place Masking Dynamic Masking Market segment by Application, Data Masking Technology can be split into Telecomm Industry Health Care Industry Energy, Education Industry Automobile Industry Public Sector Industry Other Purchase a copy of the report @ http://www.orbisresearch.com/contact/purchase/272539. Major points from Table of Contents: Chapter One: Industry Overview of Data Masking Chapter Two: Global Data Masking Competition Analysis by Players Chapter Three: Company (Top Players) Profiles Chapter Four: Global Data Masking Market Size by Type and Application (2012-2017) Chapter Five: United States Data Masking Development Status and Outlook Chapter Six: EU Data Masking Development Status and Outlook Chapter Seven: Japan Data Masking Development Status and Outlook Chapter Eight: China Data Masking Development Status and Outlook Chapter Nine: India Data Masking Development Status and Outlook Chapter Ten: Southeast Asia Data Masking Development Status and Outlook Chapter Eleven: Market Forecast by Regions, Type and Application (2017-2022) Chapter Twelve: Data Masking Market Dynamics Chapter Thirteen: Market Effect Factors Analysis Chapter Fourteen: Research Finding/Conclusion Chapter Fifteen: Appendix About Us: Orbis Research (orbisresearch.com) is a single point aid for all your market research requirements. We have vast database of reports from the leading publishers and authors across the globe. We specialize in delivering customised reports as per the requirements of our clients. We have complete information about our publishers and hence are sure about the accuracy of the industries and verticals of their specialisation. This helps our clients to map their needs and we produce the perfect required market research study for our clients. Contact Info:Name: Hector CostelloOrganization: Orbis ResearchAddress: 4144N Central Expressway, Suite 600Phone: +1 (214) 884-6817Source URL: http://marketersmedia.com/global-data-masking-technology-market-2017-2022-analysis-and-forecasts-research-report/189493For more information, please visit http://www.orbisresearch.com/reports/index/global-data-masking-technology-market-size-status-and-forecast-2022Source: MarketersMediaRelease ID: 189493
News Article | April 27, 2017
Global Multi-Factor Authentication (MFA) Market is accounted for $4.05 billion in 2015 and is expected to reach $13.59 billion by 2022 growing at a CAGR of 18.8% from 2015 to 2022. MFA technology plays a significant role as it helps to meet legislative compliances, security needs, inter border security requirements. Some of the major drivers in this market include rise of E-commerce sector, growing number of online transactions, network security threats and legislative compliances. However, data security and MFA usage service time are some restraints anticipated to decrease the market growth. Banking, financial services and insurance (BFSI) segment contributed a largest market share during the forecast period owing to growing need for secure identification and verification techniques. By geography, North America commanded the largest market share due to plenty IT infrastructures and more financial institutions & companies in this region. Some of the key players profiled in this market include Hid Global Corporation, Vasco Data Security International, Inc., Fujitsu Ltd., RSA Security Llc., 3M Company, Safran SA, Cross Match Technologies, Inc, Suprema, Inc., CA Technologies, Gemalto NV, NEC Corporation, SecurStar, MitoKen Solutions Pvt Ltd, Swivel Secure and Deepnet Security. Models Covered: • Two-Factor Authentication Model o One Time Password With Pin o Two-Factor Biometric Technology o Smart Card With Biometric Technology o Biometric Technology With Pin o Smart Card With Pin • Multi-Factor With Three-Factor Authentication o Three-Factor Biometric Technology o Smart Card With Two-Factor Biometric Technologies o Pin With Two-Factor Biometric Technologies o Smart Card With Pin and Biometric Technology • Multi-Factor With Four-Factor Authentication • Multi-Factor With Five-Factor Authentication Applications Covered: • Government • Healthcare • Banking, Financial services and Insurance (BFSI) • Travel & Immigration • Consumer Electronics • Defense • Commercial Security • Other Applications Regions Covered: • North America o US o Canada o Mexico • Europe o Germany o France o Italy o UK o Spain o Rest of Europe • Asia Pacific o Japan o China o India o Australia o New Zealand o Rest of Asia Pacific • Rest of the World o Middle East o Brazil o Argentina o South Africa o Egypt What our report offers: - Market share assessments for the regional and country level segments - Market share analysis of the top industry players - Strategic recommendations for the new entrants - Market forecasts for a minimum of 7 years of all the mentioned segments, sub segments and the regional markets - Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations) - Strategic recommendations in key business segments based on the market estimations - Competitive landscaping mapping the key common trends - Company profiling with detailed strategies, financials, and recent developments For more information, please visit https://www.wiseguyreports.com/sample-request/826996-multi-factor-authentication-mfa-global-market-outlook-2016-2022
News Article | April 21, 2017
Global IT Service Management Market - Industry Analysis, Size, Share, Growth, Trends and Forecast to 2027Pune, India - April 21, 2017 /MarketersMedia/ — Market Scenario IT service management is a process based practice which is designed to deliver the information technological services to the enterprise and within the need of customers. In past couple of years, this market has been growing tremendously as the information sector is growing. Currently this market has been estimated at US billion and growing with the CAGR rate of The main factor behind this growth is the increase in the number of employees who are using the personal IT technological devices on the workplace and it is expected that IT service management market will reach the market size of US billion by the end of forecasted period. Request a Sample Report@ https://www.marketresearchfuture.com/sample_request/932 Industry News • On 21st June 2016, Microsoft launched the iOS based app “Flow” a work flow service management app. • On 15th June 2016, BMC Software announced that Spark ventures in suing Remedy force solutions for service management. Segmentation For the purpose of this study, this market has been segmented on the basis of application, end users and geography. Applications of IT service management include- configuration management, IT Asset Management Market, application performance management, network management and DBMS management. End user includes- Manufacturing, Healthcare/Medical/Pharmaceutical, Hospitality/Entertainment/Recreation/Travel, Telecom and IT, BFSI, Retail/Wholesale/Distribution among others. Key Player • BMC Software • HP • CA Technologies • IBM Corporation • Absolute Software • Microsoft Corp. • Axios Systems • Cherwell Software • Citrix Systems • Compuware • EMC Corporation • LANDESK Software • ManageEngine Regional Analysis Currently North America is leading the market of IT Service management with the market due to the technological advancement of US and Canada. These countries have advantage of advance technology which has kept the North America a leader in the IT service management market. Currently North America is accounted for % of total market share followed by Europe which accounts for % of market share, Asia-Pacific has emerged as the fastest growing market with the CAGR of % and expected to reach US billion by the end of forecasted period. Taste the market data and market information presented through more than 150 market data tables and figures spread in 145 numbers of pages of the project report. Avail the in-depth table of content TOC & market synopsis on “Global IT Service Management Market Research Report- Forecast to 2027" Browse Full Research Report @ https://www.marketresearchfuture.com/reports/it-service-management-market TOC of IT Service Management Market 1 Report Prologue 2 Introductions 3 Research Methodologies 4 Market Dynamics 5 Market Factor Analyses 6 Global IT Service Management Market- by Type 7 Global IT Service Management Market - by Form 8 Global IT Service Management Market - by Region 9 Global IT Service Management Market by Application Continued…… About Market Research Future At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services. Contact Info:Name: Akash AnandOrganization: Market Research futureAddress: Market Research Future Magarpatta Road, Hadapsar, Pune - 411028 Maharashtra, India +1 646 845 9312Phone: 6468459312Source URL: http://marketersmedia.com/global-it-service-management-industry-analysis-size-share-growth-trends-and-forecast-to-2027/189086For more information, please visit https://www.marketresearchfuture.com/reports/it-service-management-marketSource: MarketersMediaRelease ID: 189086
Agency: European Commission | Branch: H2020 | Program: CSA | Phase: INSO-4-2015 | Award Amount: 2.85M | Year: 2016
Science2Society creates, pilots and shares good practices, guidelines and training materials that improve awareness and practical performance in seven concrete university-industry-society interfacing schemes especially affected by Science 2.0 and open innovation. It covers a very wide range of interfacing / co-creation approaches (and the synergy between them) and advances far beyond the traditional role of the interface as a facilitator of knowledge transfer from university to business. Sound methodological frameworks will be combined with real life experience from practitioners in science and industry, making the transition from promising blueprints to actual change within some 3000 actors in Europe by 2020. Science2Society does not only collect knowledge and models; it deeply and innovatively analyses how these can be improved (using advanced methods pioneered in business practice such as process re-engineering, design thinking and change management) and runs substantial experiments to validate the created optimized interfacing schemes. A complete package of dissemination activities will ensure that these results measurably impact the performance of European universities (and other stakeholders) in this area. Our project brings together both practitioners as well as method and system experts; it brings together universities, industries, research & technology organizations and SMEs. The project is endorsed by large (EU-level) networks of peers and ecosystem partners, allowing the project to actually engage in direct dialogue during project execution with hundreds of actors far beyond the consortium itself. Moreover, by building and establishing a Community of Practice type Learning and Implementation Alliance, we will ensure that a self-sustained cross-sector community on the subject of Science 2.0-enabled innovation ecosystems (and the key role of universities interfacing with their ecosystem partners) will be in place and operational by the end of our project.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-07-2014 | Award Amount: 3.57M | Year: 2015
The most challenging applications in heterogeneous cloud ecosystems are those that are able to maximise the benefits of the combination of the cloud resources in use: multi-cloud applications. They have to deal with the security of the individual components as well as with the overall application security including the communications and the data flow between the components. The main objective of MUSA is to support the security-intelligent lifecycle management of distributed applications over heterogeneous cloud resources, through a security framework that includes: security-by-design mechanisms to allow application self-protection at runtime, and methods and tools for the integrated security assurance in both the engineering and operation of multi-cloud applications. The MUSA framework leverages security-by-design, agile and DevOps approaches in multi-cloud applications, and enables the security-aware development and operation of multi-cloud applications. The framework will be composed of a) an IDE for creating the multi-cloud application taking into account its security requirements together with functional and business requirements, b) a set of security mechanisms embedded in the multi-cloud application components for self-protection, c) an automated deployment environment that, based on an intelligent decision support system, will allow for the dynamic distribution of the components according to security needs, and d) a security assurance platform in form of a SaaS that will support multi-cloud application runtime security control and transparency to increase user trust. The project will demonstrate and evaluate the economic viability and practical usability of the MUSA framework in highly relevant industrial applications representative of multi-cloud application development potential in Europe. The project duration will be 36 months, with an overall budget of 3,574,190 euros.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2011.1.2 | Award Amount: 9.00M | Year: 2012
Current Clouds offer is becoming day by day wider providing a vibrant technical environment, where SMEs can create innovative solutions and evolve their services. Cloud promises cheap and flexible services to end-users at a much larger scale than before. However, Cloud business models and technologies are still in their initial hype and characterized by critical early stage issues, which pose specific challenges and require advanced software engineering methods.\nThe main goal of MODAClouds is to provide methods, a decision support system, an open source IDE and run-time environment for the high-level design, early prototyping, semi-automatic code generation, and automatic deployment of applications on multi-Clouds with guaranteed QoS.\nModel-driven development combined with novel model-driven risk analysis and quality prediction will enable developers to specify Cloud-provider independent models enriched with quality parameters, implement these, perform quality prediction, monitor applications at run-time and optimize them based on the feedback, thus filling the gap between design and run-time. Additionally, MODAClouds provides techniques for data mapping and synchronization among multiple Clouds.\nMODAClouds innovations thus are: (i)simplify Cloud provider selection favoring the emergence of European Clouds, (ii) avoid vendor lock-in problems supporting the development of Cloud enabled Future Internet applications, (iii) provide quality assurance during the application life-cycle and support migration from Cloud to Cloud when needed.\nThe research is multi-disciplinary and will be grounded on expertise from several research areas. MODAClouds consortium consists of highly recognized Universities and research institutions that will assure a sound scientific progress, SME partners providing expertise on modelling tools, and large companies that assure industry relevance. The MODAClouds approach and tools will be applied on four industrial cases from different domains.
Agency: European Commission | Branch: H2020 | Program: MSCA-ITN-ETN | Phase: MSCA-ITN-2014-ETN | Award Amount: 3.80M | Year: 2015
The consortium of this European Training Network (ETN) BigStorage: Storage-based Convergence between HPC and Cloud to handle Big Data will train future data scientists in order to enable them and us to apply holistic and interdisciplinary approaches for taking advantage of a data-overwhelmed world, which requires HPC and Cloud infrastructures with a redefinition of storage architectures underpinning them - focusing on meeting highly ambitious performance and energy usage objectives. There has been an explosion of digital data, which is changing our knowledge about the world. This huge data collection, which cannot be managed by current data management systems, is known as Big Data. Techniques to address it are gradually combining with what has been traditionally known as High Performance Computing. Therefore, this ETN will focus on the convergence of Big Data, HPC, and Cloud data storage, ist management and analysis. To gain value from Big Data it must be addressed from many different angles: (i) applications, which can exploit this data, (ii) middleware, operating in the cloud and HPC environments, and (iii) infrastructure, which provides the Storage, and Computing capable of handling it. Big Data can only be effectively exploited if techniques and algorithms are available, which help to understand its content, so that it can be processed by decision-making models. This is the main goal of Data Science. We claim that this ETN project will be the ideal means to educate new researchers on the different facets of Data Science (across storage hardware and software architectures, large-scale distributed systems, data management services, data analysis, machine learning, decision making). Such a multifaceted expertise is mandatory to enable researchers to propose appropriate answers to applications requirements, while leveraging advanced data storage solutions unifying cloud and HPC storage facilities.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2013.4.2 | Award Amount: 6.15M | Year: 2014
LeanBigData aims at addressing three open challenges in big data analytics: 1) The cost, in terms of resources, of scaling big data analytics for streaming and static data sources; 2) The lack of integration of existing big data management technologies and their high response time; 3) The insufficient end-user support leading to extremely lengthy big data analysis cycles. LeanBigData will address these challenges by:Architecting and developing three resource-efficient Big Data management systems typically involved in Big Data processing: a novel transactional NoSQL key-value data store, a distributed complex event processing (CEP) system, and a distributed SQL query engine. We will achieve at least one order of magnitude in efficiency by removing overheads at all levels of the big-data analytics stack and we will take into account technology trends in multicore technologies and non-volatile memories. Providing an integrated big data platform with these three main technologies used for big data, NoSQL, SQL, and Streaming/CEP that will improve response time for unified analytics over multiple sources and large amounts of data avoiding the inefficiencies and delays introduced by existing extract-transfer-load approaches. To achieve this we will use fine-grain intra-query and intra-operator parallelism that will lead to sub-second response times.Supporting an end-to-end big data analytics solution removing the four main sources of delays in data analysis cycles by using: 1) automated discovery of anomalies and root cause analysis; 2) incremental visualization of long analytical queries; 3) drag-and-drop declarative composition of visualizations; and 4) efficient manipulation of visualizations through hand gestures over 3D/holographic views.Finally, LeanBigData will demonstrate these results in a cluster with 1,000 cores in four real industrial use cases with real data, paving the way for deployment in the context of realistic business processes.
Ryu K.-S.,IBM |
Thomas L.,CA Technologies |
Yang S.-H.,IBM |
Nature Nanotechnology | Year: 2013
Spin-polarized currents provide a powerful means of manipulating the magnetization of nanodevices, and give rise to spin transfer torques that can drive magnetic domain walls along nanowires. In ultrathin magnetic wires, domain walls are found to move in the opposite direction to that expected from bulk spin transfer torques, and also at much higher speeds. Here we show that this is due to two intertwined phenomena, both derived from spin-orbit interactions. By measuring the influence of magnetic fields on current-driven domain-wall motion in perpendicularly magnetized Co/Ni/Co trilayers, we find an internal effective magnetic field acting on each domain wall, the direction of which alternates between successive domain walls. This chiral effective field arises from a Dzyaloshinskii-Moriya interaction at the Co/Pt interfaces and, in concert with spin Hall currents, drives the domain walls in lock-step along the nanowire. Elucidating the mechanism for the manipulation of domain walls in ultrathin magnetic films will enable the development of new families of spintronic devices. © 2013 Macmillan Publishers Limited. All rights reserved.