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Cloud computing has provided multiple advantages as well as challenges to software and infrastructure services. In order to be fully beneficial, these challenges facing cloud specific communication protocols must be addressed. This presents the issues and research directions for a broad range of cloud computing aspects of software, computing, and storage systems.

In addition to capital infrastructure and consumers, digital information created by individual and corporate consumers of information technology is quickly being recognized as a key economic resource and an extremely valuable asset to a company. Organizational, Legal, and Technological Dimensions of Information System Administration recognizes the importance of information technology by addressing the most crucial issues, challenges, opportunities, and solutions related to the role and responsibility of an information system. Highlighting various aspects of the organizational and legal implications of system administration, this reference work will be useful to managers, IT professionals, and graduate students who seek to gain an understanding in this discipline.

As more and more of our data is stored remotely, accessing that data wherever and whenever it is needed is a critical concern. More concerning is managing the databanks and storage space necessary to enable cloud systems. This title reports on the latest advances in the development of computationally intensive and cloud-based applications.

Rapidly generating and processing large amounts of data, supercomputers are currently at the leading edge of computing technologies. Supercomputers are employed in many different fields, establishing them as an integral part of the computational sciences. This title investigates current and emerging research in the field, as well as the application of this technology to a variety of areas.

The ubiquity of technology has not only brought the need for computer knowledge to every aspect of the modern business world, it has also increased our need to safely store the data we are now creating. Highlighting ways cloud services can work effectively in production and in real time, this title brings together the best practices for storing massive amounts of data.

Explores the latest advances in the area of data management and analysis in the cloud. Providing timely, research-based information relating to data storage, sharing, extraction, and indexing in cloud systems, this publication is an ideal reference source for graduate students, IT specialists, researchers, and professionals working in the areas of data and knowledge engineering.

Addresses the future challenges, advances, and applications of HPC and related technologies. As the need for such processors increases, so does the importance of developing new ways to optimize the performance of these supercomputers. This volume provides information for researchers, students in ICT, programme developers, military and government organizations, and business professionals.

Focuses on the use of agile methodologies to manage, design, develop, test and maintain software projects. Emphasizing research-based solutions for contemporary software development, this publication is designed for use by software developers, researchers, and graduate-level students in software engineering and project management programs.

Provides valuable insight into current and emergent research occurring within the field of cloud infrastructures. It features barriers, recent developments, and practical applications on the interoperability issues of federated cloud architectures.

Presents research on the latest protocols and concepts for applying the Windows Communication Foundation framework in the development of computer software applications. Highlighting perspectives on topics such as interoperability, programming methodologies, and security considerations, this book is for professionals, researchers, graduate students, software developers, and practitioners.

Discusses the latest approaches to control large-scale systems, and the challenges that occur when implementing them. Highlighting a critical range of topics such as system stability, system stabilization, and fuzzy rules, this book is an ideal publication for engineers, researchers, academics, graduate students, and practitioners interested in the design of large-scale interconnected systems.

Examines the latest trends in 2D curve interpolation and modelling methodologies. Focusing on a range of pertinent topics such as 3D surface modelling, high-dimensional data, and numerical methods, this is an ideal publication for programmers, researchers, students, and practitioners interested in emerging methods in object modeling and contour reconstruction.

Discusses approaches to cognitive and perceptual systems development in artificial intelligence. Including a range of relevant topics such as object processing, implicit symbols, and knowledge representation, this book is designed for engineers, academics, practitioners, and students interested in perceptual and conceptual interpretation in artificial intelligence.

Focuses on the challenges of distributed systems imposed by data intensive applications. Providing hints on how to manage low-level data handling issues when performing data intensive distributed computing, this title is suitable for scientists, researchers, engineers, and application developers, alike.

An authoritative reference source on the computer models and technologies necessary to enhance engineering structures and planning for real-world applications. This publication features chapters on the advanced technologies developed within the field of engineering including prediction tools, software programs, algorithms, and theoretical and computational models.

Provides architectural design and implementation studies on cloud computing from an end-to-end approach, including the latest industrial works and extensive research studies of cloud computing. This handbook enumerates deep dive and systemic studies of cloud computing from architecture to implementation. It is ideal for programmers, IT professionals, students, researchers, and engineers.

Presents scholarly information on model-centric approaches and implementations for control and other similar dynamic systems. Highlighting innovative topics such as configuration management, controllability analysis, and modelling requirements, this book is designed for engineers, researchers, academics, project managers, and professionals interested in the design of embedded control systems.

Gives a major focus to the need for methodologies, tools, and architectures for complex distributed systems that address the practical issues of performance guarantees, timed execution, real-time management of resources, synchronized communication under various load conditions, satisfaction of QoS constraints, as well as dealing with the trade-offs between these aspects.

Applying methodologies of Software Process Improvement (SPI) is an effective way for businesses to remain competitive in the software industry. However, many organisations find implementing software process initiatives challenging. This reviews current SPI techniques and applications through discussions on current and future trends as well as the presentation of case studies on SPI implementation.

Brings together high quality research on the influence and impact of ordinary people on the software industry. With the goal of improving the quality and usability of computer technologies, this premier reference is intended for students and practitioners of software engineering as well as researchers, educators, and interested laymen.

Focuses on the inherent issues to help practitioners in gaining understanding of software development processes. The best practices highlighted in this publication will be essential to software professionals working in the industry as well as students and researchers in software engineering in order to successfully employ knowledge management procedures.