Network and Parallel Computing

What s new in the European research and development area? Cloud computing is a provision model where whatever computing resource that can be thought of (machines, network, software solutions, applicat

JavaTech is a practical introduction to the Java programming language with an emphasis on the features that benefit technical computing. After presenting the basics of object-oriented programming in Java, it examines introductory topics such as graphical interfaces and thread processes. It goes on to review network programming and develops Web client-server examples for tasks such as monitoring remote devices. The focus then shifts to distributed computing with RMI. Finally, it examines how Java programs can access the local platform and interact with hardware. Topics include combining native code with Java, communication via serial lines, and programming embedded processors. An extensive web site supports the book with additional instructional materials. JavaTech demonstrates the ease with which Java can be used to create powerful network applications and distributed computing applications. It will be used as a textbook for programming courses, and by researchers who need to learn Jav

An analytical overview of the state of the art, open problems, and future trends in heterogeneous parallel and distributed computing This book provides an overview of the ongoing academic research, d

LEDA is a library of efficient data types and algorithms and a platform for combinatorial and geometric computing on which application programs can be built. In each of the core computer science areas of data structures, graph and network algorithms, and computational geometry, LEDA covers all (and more) that is found in the standard textbooks. LEDA is the first such library; it is written in C++ and is available on many types of machine. Whilst the software is freely available worldwide and is installed at hundreds of sites, this is the first book devoted to the library. Written by the main authors of LEDA, it is the definitive account, describing how the system is constructed and operates and how it can be used. The authors supply ample examples from a range of areas to show how the library can be used in practice, making the book essential for all workers in algorithms, data structures and computational geometry.

JavaTech is a practical introduction to the Java programming language with an emphasis on the features that benefit technical computing. After presenting the basics of object-oriented programming in Java, it examines introductory topics such as graphical interfaces and thread processes. It goes on to review network programming and develops Web client-server examples for tasks such as monitoring remote devices. The focus then shifts to distributed computing with RMI. Finally, it examines how Java programs can access the local platform and interact with hardware. Topics include combining native code with Java, communication via serial lines, and programming embedded processors. An extensive web site supports the book with additional instructional materials. JavaTech demonstrates the ease with which Java can be used to create powerful network applications and distributed computing applications. It will be used as a textbook for programming courses, and by researchers who need to learn Jav

本書從元宇宙的起源和現實應用場景出發，基於元宇宙的“BIGCHINA”技術框架，為讀者依次揭開元宇宙背後八大硬科技—區塊鏈(Blockchain)技術、交互(Interactivity)技術、通信技術(Communication Technology，5G、6G)、雲和邊緣計算(Cloud and Edge Computing)技術、高性能計算和量子計算(High-Performance Computing and Quantum Computing)技術、物聯網和機器人(IoT and Robotics)技術、網絡(Network)技術、人工智能(Artificial Intelligence)技術的神秘面紗。本書將上述八大支撐技術與元宇宙中的諸多實際和潛在應用相結合，生動地繪製出一幅元宇宙的“技術圖譜”，為想要瞭解元宇宙及其背後核心技術的讀者提供有趣的科普閱讀體驗。此外，本書在一定程度上突破了從單一技術視域分析元宇宙的局限，對讀者瞭解當前元宇宙技術整體發展現狀和未來趨勢有一定的借鑒意義。

International contributors in computer science, software engineering, electronics engineering, and communication network protocols offer insight on the latest advances in mobile computing. Part 1 pres

This work characterizes the latest research on the use of quality of service (QoS) in grid computing, for academicians, engineers, IT professionals, and researchers in fields such as parallel and dist

PVM is a software package that enables the computer user to define a networked heterogeneous collection of serial, parallel, and vector computers to function as one large computer. Written by the tea

This book provides an overview of and essential insights on invasive computing. Pursuing a comprehensive approach, it addresses proper concepts, invasive language constructs, and the principles of inv

This volume of High Performance Computing in Science and Engineering is fully dedicated to the final report of KONWIHR, the Bavarian Competence Network for Technical and Scientific High Performance Co

Solving problems in parallel and distributed computing through the use of bio-inspired techniques. Recent years have seen a surge of interest in computational methods patterned after natural phenomena

Future of Internet of Bio-nano Things in Personalized Healthcare: Applications and Challenges explores the core principles of nanomaterials and the sensing paradigms essential for medical devices based on nano-sensors technology, examining the latest theoretical and practical developments in Internet of Bio-nano Things (IoBNT) for health applications. This book explores how IoBNT facilitates the detection and treatment of diseases within the human body through communication between an in-body network of nanodevices and an external control unit. Readers will discover the transformative benefits of IoBNT, which integrates information and communication technologies with medical and nano-bio sensor devices to enhance patient care. The book highlights advances in telemedicine, including highly functional electronic medical devices like implantable and wearable devices engineered through nanotechnology. It details real-time case studies on smart drug delivery, edge computing, and personalize

The synergy between Artificial Intelligence (AI) and the Internet of Things (IoT) is shaping the future of technology and opening a world of unprecedented possibilities. Artificial Intelligence of Things (AIoT): Current and Future Trends brings together researchers and developers from a wide range of domains to share with readers their ideas about how to implement technical advances, application areas for intelligent systems, and development of new services and smart devices connected to the Internet through a variety of wireless technologies. Parallel to this, new capabilities such as pervasive sensing, multimedia sensing, machine learning, deep learning, and computing power are opening the way to new domains, services, and business models beyond the traditional mobile Internet. These new areas in turn come with various requirements in terms of reliability, quality of service, and energy efficiency. In Artificial Intelligence of Things readers learn about the challenges and requiremen

How hacking cultures drive contemporary capitalism and the future of innovation.In Resistance to the Current, Johan Söderberg and Maxigas examine four historical case studies of hacker movements and their role in shaping the twenty-first-century’s network society. Based on decades of field work and analysis, this intervention into current debates situates an exploding variety of hacking practices within the contradictions of capitalism. Depoliticized accounts of computing cultures and collaborative production miss their core driver, write Söderberg and Maxigas: the articulation of critique and its recuperation into innovations. Drawing on accounts of building, developing, and running community wireless networks, 3D printers, hackerspaces, and chat protocols, the authors develop a theoretical framework of critique and recuperation to examine how hackers―who have long held a reputation for being underground rebels―transform their outputs from communal, underground experiments to commerci

●The learning approach fits the way students are learning today. Instead of a history lesson on the microchip, the focus is on tasks students can accomplish with their computing devices and skills they can apply immediately in the workplace, the classroom, and at home. The content is complemented by hands-on technology, and weekly news feeds to enrich the student learning experience.●All the content is up to date: students stay engaged because the content focuses on the material they want to learn (e.g., how to integrate computing devices into a home network), while teaching the material they need to learn (e.g., how networks work).●The sequence of topics is set up to mirror the typical student learning experience, so that they progress through stages of increasing difficulty.●This progressive approach intentionally introduces topics on a basic level in the earlier chapters and then later expands on those concepts in more detail when students have become more comfortable with them.●The

Applications of queueing network models have multiplied in the last generation, including scheduling of large manufacturing systems, control of patient flow in health systems, load balancing in cloud computing, and matching in ride sharing. These problems are too large and complex for exact solution, but their scale allows approximation. This book is the first comprehensive treatment of fluid scaling, diffusion scaling, and many-server scaling in a single text presented at a level suitable for graduate students. Fluid scaling is used to verify stability, in particular treating max weight policies, and to study optimal control of transient queueing networks. Diffusion scaling is used to control systems in balanced heavy traffic, by solving for optimal scheduling, admission control, and routing in Brownian networks. Many-server scaling is studied in the quality and efficiency driven Halfin–Whitt regime and applied to load balancing in the supermarket model and to bipartite matching in ri

Applications of queueing network models have multiplied in the last generation, including scheduling of large manufacturing systems, control of patient flow in health systems, load balancing in cloud computing, and matching in ride sharing. These problems are too large and complex for exact solution, but their scale allows approximation. This book is the first comprehensive treatment of fluid scaling, diffusion scaling, and many-server scaling in a single text presented at a level suitable for graduate students. Fluid scaling is used to verify stability, in particular treating max weight policies, and to study optimal control of transient queueing networks. Diffusion scaling is used to control systems in balanced heavy traffic, by solving for optimal scheduling, admission control, and routing in Brownian networks. Many-server scaling is studied in the quality and efficiency driven Halfin–Whitt regime and applied to load balancing in the supermarket model and to bipartite matching in ri