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The Grid is an emerging infrastructure that will fundamentally change the way we think about-and use-computing. The word Grid is used by analogy with the electric power grid, which provides pervasive access to electricity and has had a dramatic impact on human capabilities and society. Many believe that by allowing all components of our information technology infrastructure-computational capabilities, databases, sensors, and people-to be shared flexibly as true collaborative tools the Grid will have a similar transforming effect, allowing new classes of applications to emerge.

Computer architecture. Operating systems --- Information systems --- gedistribueerde besturing --- virtuele organisatie --- databanken --- datacommunicatie --- infrastructuur --- computernetwerken --- sensoren --- Computational grids (Computer systems). --- Computational grids (Computer systems) --- Grid computing --- Grids, Computational (Computer systems) --- Computer systems --- Cyberinfrastructure --- Cyberinfrastructure. --- Cyber-based information systems --- Cyber-infrastructure --- Electronic data processing --- Information technology --- Computer networks --- Distributed databases --- High performance computing --- Distributed processing

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Gain a foundational understanding of SRE and learn its basic concepts and architectural best practices for deploying Azure IaaS, PaaS, and microservices-based resilient architectures. The book starts with the base concepts of SRE operations and developer needs, followed by definitions and acronyms of Service Level Agreements in real-world scenarios. Moving forward, you will learn how to build resilient IaaS solutions, PaaS solutions, and microservices architecture in Azure. Here you will go through Azure reference architecture for high-available storage, networking and virtual machine computing, describing Availability Sets and Zones and Scale Sets as main scenarios. You will explore similar reference architectures for Platform Services such as App Services with Web Apps, and work with data solutions like Azure SQL and Azure Cosmos DB. Next, you will learn automation to enable SRE with Azure DevOps Pipelines and GitHub Actions. You'll also gain an understanding of how an open culture around post-mortems dramatically helps in optimizing SRE and the overall company culture around managing and running IT systems and application workloads. You'll be exposed to incent management and monitoring practices, by making use of Azure Monitor/Log Analytics/Grafana, which forms the foundation of monitoring Azure and Hybrid-running workloads. As an extra, the book covers two new testing solutions: Azure Chaos Studio and Azure Load Testing. These solutions will make it easier to test the resilience of your services. After reading this book, you will understand the underlying concepts of SRE and its implementation using Azure public cloud.

Reliability (Engineering) --- Microsoft Azure (Computing platform) --- Engineering --- Cyberinfrastructure --- Management. --- Reliability of equipment --- Systems reliability --- Maintainability (Engineering) --- Probabilities --- Systems engineering --- Plant performance --- Safety factor in engineering --- Structural failures --- Windows Azure (Computing platform) --- Computing platforms --- Cyber-based information systems --- Cyber-infrastructure --- Electronic data processing --- Information technology --- Computer networks --- Computer systems --- Distributed databases --- High performance computing --- Civil engineering --- Structural engineering --- Distributed processing --- Management

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Grids are a crucial enabling technology for scientific and industrial development. Grid and Services Evolution, the 11th edited volume of the CoreGRID series, was based on The CoreGRID Middleware Workshop, held in Barcelona, Spain , June 5-6, 2008. Grid and Services Evolution provides a bridge between the application community and the developers of middleware services, especially in terms of parallel computing. This edited volume brings together a critical mass of well-established researchers worldwide, from forty-two institutions active in the fields of distributed systems and middleware, programming models, algorithms, tools and environments. Grid and Services Evolution is designed for a professional audience composed of researchers and practitioners within the Grid community industry. This volume is also suitable for advanced-level students in computer science. .

Information Technology --- Computer Science (Hardware & Networks) --- Computational grids (Computer systems) --- Cyberinfrastructure --- Cyber-based information systems --- Cyber-infrastructure --- Computer science. --- Computer organization. --- Microprocessors. --- Computer communication systems. --- Computer Science. --- Computer Communication Networks. --- Processor Architectures. --- Computer Systems Organization and Communication Networks. --- Electronic data processing --- Information technology --- Computer networks --- Computer systems --- Distributed databases --- High performance computing --- Distributed processing --- Computer network architectures. --- Architectures, Computer network --- Network architectures, Computer --- Computer architecture --- Informatics --- Science --- Organization, Computer --- Electronic digital computers --- Minicomputers --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Network computers

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On various examples ranging from geosciences to environmental sciences, this book explains how to generate an adequate description of uncertainty, how to justify semiheuristic algorithms for processing uncertainty, and how to make these algorithms more computationally efficient. It explains in what sense the existing approach to uncertainty as a combination of random and systematic components is only an approximation, presents a more adequate three-component model with an additional periodic error component, and explains how uncertainty propagation techniques can be extended to this model. The book provides a justification for a practically efficient heuristic technique (based on fuzzy decision-making). It explains how the computational complexity of uncertainty processing can be reduced. The book also shows how to take into account that in real life, the information about uncertainty is often only partially known, and, on several practical examples, explains how to extract the missing information about uncertainty from the available data.

Engineering. --- Computational Intelligence. --- Data Mining and Knowledge Discovery. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Data mining. --- Ingénierie --- Exploration de données (Informatique) --- Engineering & Applied Sciences --- Computer Science --- Uncertainty (Information theory) --- Cyberinfrastructure. --- Cyber-based information systems --- Cyber-infrastructure --- Measure of uncertainty (Information theory) --- Shannon's measure of uncertainty --- System uncertainty --- Statistics. --- Computational intelligence. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Construction --- Industrial arts --- Technology --- Electronic data processing --- Information technology --- Computer networks --- Computer systems --- Distributed databases --- High performance computing --- Information measurement --- Probabilities --- Questions and answers --- Distributed processing --- Statistics .

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"There is increasing concern that Air Force systems containing information technology are vulnerable to intelligence exploitation and offensive attack through cyberspace. In this report, the authors analyze how the Air Force acquisition/life-cycle management community can improve cybersecurity throughout the life cycle of its military systems. The focus is primarily on the subset of procured systems for which the Air Force has some control over design, architectures, protocols, and interfaces (e.g., weapon systems, platform information technology), as opposed to commercial, off-the-shelf information technology and business systems. The main themes in the authors' findings are that cybersecurity laws and policies were created to manage commercial, off-the-shelf information technology and business systems and do not adequately address the challenges of securing military systems. Nor do they adequately capture the impact to operational missions. Cybersecurity is mainly added on to systems, not designed in. The authors recommend 12 steps that the Air Force can take to improve the cybersecurity of its military systems throughout their life cycles"--Provided by publisher.

Computer networks --- Cyberinfrastructure --- Cyberspace --- Risk assessment --- Cyberterrorism --- National security --- Telecommunications --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Security measures --- Evaluation --- Prevention --- Computer security --- National security policy --- NSP (National security policy) --- Security policy, National --- Attacks on computers --- Computer attacks --- Cyber attacks --- Cyber terrorism --- Cyber war --- Cyberwarfare --- Analysis, Risk --- Assessment, Risk --- Risk analysis --- Risk evaluation --- Cyber-based information systems --- Cyber-infrastructure --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Government policy --- Economic policy --- International relations --- Military policy --- Computer crimes --- Terrorism --- Electronic data processing --- Information technology --- Computer systems --- Distributed databases --- High performance computing --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Network computers --- Distributed processing --- Electronic terrorism (Cyberterrorism) --- United States. --- Rules and practice. --- AF (Air force) --- Air Force (U.S.) --- U.S.A.F. (Air force) --- United States Air Force --- US Air Force --- USAF (Air force)