Bøger i Computing and Networks serien

This comprehensive edited 2-volume handbook provides a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data analytics. The first volume presents methodologies that support Big Data analytics, while the second volume offers a wide range of Big Data analytics applications.

The authors present a comprehensive review of fog computing systems including energy efficiency and quality of service issues, reliability and fault tolerance, load balancing, and scheduling, utilizing mobile edge computing, internet of things, resource estimation and virtualization in fog computing environments for smart applications.

Big Data Analytics and Software Defined Networking (SDN) are helping to drive the management of data usage of the extraordinary increase of computer processing power provided by Cloud Data Centres (CDCs). This new book investigates areas where Big-Data and SDN can help each other in delivering more efficient services.

Intellectual Property Rights for Engineers explains the general principles behind the law protecting innovation, quoting cases from the engineering domain in order to clarify legal issues.

This book shows how innovations in network analytics, IoTs and cloud computing platforms are being used to ingest, analyse and correlate a myriad of big data across the entire network stack in order to increase quality of service and quality of experience (QoS/QoE) and to improve network performance.

The needs of future digital data and computer systems are expected to be two to three orders of magnitude larger than for today's systems, to take account of unprecedented amounts of heterogeneous hardware, lines of source code, numbers of users, and volumes of data. Ultrascale computing systems (UCS) are a solution. Envisioned as large-scale complex systems joining parallel and distributed computing systems, which can be located at multiple sites and cooperate to provide the required resources and performance to the users, these technologies will extend individual systems to provide the resources that are very much needed.Based on the research work in the COST Action IC 1305 Network for Sustainable Ultrascale Computing (NESUS) this book presents important results and methods towards achieving sustainable UCS. The authors present a wide range of emerging programming models that facilitate the task of scaling and extracting performance on continuously evolving platforms, while providing resilience and fault-tolerant mechanisms to tackle the increasing probability of failures throughout the entire software stack. These methods are needed to achieve scale handling, better programmability and adaptation to rapidly changing underlying computing architecture, data centric programming models, resilience, and energy-efficiency.

Graph analytics are being empowered through novel analytics techniques to explore and pinpoint beneficial relationships between different entities such as organizations, people and transactions. This edited book presents the various aspects and importance of graph data science, with contributions by authors from academia and industry.

In this book, the authors articulate the challenges associated with streaming data and analytics, describe data analytics algorithms and approaches, present edge and fog computing concepts and technologies and show how streaming analytics can be accomplished in edge device clouds. They also delineate several industry use cases.

Inspired by MPEG-I and JPEG-PLENO standardization activities, this book is for readers who want to understand 3D representations and multi-camera video processing for novel immersive media applications. The authors address new challenges that arise beyond compression-only, such as depth acquisition and 3D rendering.

Serving as a bridge between researchers in the computing domain and computing hardware designers, this book presents ReRAM techniques for distributed computing using IMC accelerators, ReRAM-based IMC architectures for machine learning (ML) and data-intensive applications, and strategies to map ML designs onto hardware accelerators.

This comprehensive edited 2-volume handbook provides a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data analytics. The first volume presents methodologies that support Big Data analytics, while the second volume offers a wide range of Big Data analytics applications.

This book describes the primary uses for Trusted Platform Modules (TPMs) and practical considerations such as when TPMs can and should be used, when they shouldn't be, what advantages they provide, and how to actually make use of them, with use cases and worked examples of how to implement these use cases on a real system.

This book describes how smart cities can be designed with data at their heart, moving from a broad vision to a consistent city-wide collaborative configuration of activities.

SysML for Systems Engineering: A model-based approach provides a comprehensive overview on how to implement SysML and Model-based Systems Engineering (MBSE) in an organisation in order to model real projects effectively and efficiently.

This authored book investigates network traffic classification solutions by proposing transport-layer methods to achieve better run and operated enterprise-scale networks.

This book provides an introduction to trusted computing technology and its applications. As computers are increasingly embedded and wireless connected, security becomes imperative.

The UML (Unified Modelling Language) has become the industry standard for modelling software-intensive systems. The book looks at applications using the UML as part of a generic approach to aid problem-solving and information modelling and covers the significant changes that have occurred since the release of UML version 2.

This book provides an introduction to silicon IC technology including descriptions of the various processing techniques employed in the manufacture of microelectronic components. A heavy emphasis is placed on the design of semi-custom IC's and consideration is also given to the ways in which custom VLSI circuits will be designed in future.

This book reviews some of the underlying technologies and also some recent applications in a number of fields. In a world increasingly overloaded with data of varying quality, not least via the Internet, computerised tools are becoming useful to 'mine' useful data from the mass available.

This book provides systematic guidance on how to sense and avoid the causes of IT project failure at every step, from project conception to the disposal of the system after a long and beneficial operational life. The author takes the reader through every stage of the process, pointing out pitfalls and suggesting tactics as you go.

Modelling Enterprise Architectures looks at the practical needs of creating and maintaining an effective EA within a twenty-first-century business through the use of pragmatic modelling.

This book examines various topics and approaches related to the security and privacy in big data and cloud computing, where authors share their expertise in their respective chapters on a broad range of security and privacy challenges and state of the art solutions.

This handbook introduces a variety of concepts in discrete mathematics and mathematical modeling for languages and computation. The authors pay special attention to the implementation of mathematical concepts to explain clearly how to encode them in computational practice. All computer programs are written in C#.

This book covers complex software engineering projects, new paradigms for system development, object-orientated design and formal methods, project management and automation perspectives.

This book describes a number of systems-level 'patterns' (pre-defined, reusable sets of views) that may be applied using the systems modelling language SysML for the development of any number of different applications and as the foundations for a system model.