Supplying a comprehensive introduction to next-generation networks, Building Next-Generation Converged Networks: Theory and Practice strikes a balance between how and why things work and how to make them work. It compiles recent advancements along with basic issues from the wide range of fields related to next generation networks. Containing the contributions of 56 industry experts and researchers from 16 different countries, the book presents relevant theoretical frameworks and the latest research. It investigates new technologies such as IPv6 over Low Power Wireless Personal Area Network (6LoWPAN) architectures, standards, mobility, and security. Presenting the material in a manner that entry-level readers can easily grasp the fundamentals, the book is organized into five parts: Multimedia Streaming—deals with multimedia streaming in networks of the future—from basics to more in-depth information for the experts Safety and Security in Networks—addresses the issues related to security, including fundamental Internet and cyber-security concepts that will be relevant in any future network Network Management and Traffic Engineering—includes coverage of mathematical modeling-based works Information Infrastructure and Cloud Computing—integrates information about past achievements, present conditions, and future expectations in information infrastructure-related areas Wireless Networking—touches on the various aspects of wireless networks and technologies The text includes coverage of Internet architectures and protocols, embedded systems and sensor networks, web services, Cloud technologies, and next-generation wireless networking. Reporting on the latest advancements in the field, it provides you with the understanding required to contribute towards the materialization of future networks. This book is suitable for graduate students, researchers, academics, industry practitioners working in the area of wired or wireless networking, and basically anyone who wants to improve his or her understanding of the topics related to next-generation networks.

This book constitutes the refereed proceedings of the 10th International Conference on High-Performance Computing, HiPC 2003, held in Hyderabad, India in December 2003. The 48 revised full papers presented together with 5 keynote abstracts were carefully reviewed and selected from 164 submissions. The papers are organized in topical sections on performance issues and power-aware systems; distributed and network algorithms; routing in wireless, mobile, and cut-through networks; scientific and engineering applications; overlay networks, clusters, and grids; scheduling and software algorithms; network design and performance; grid applications and architecture support; performance analysis; scheduling and migration.

This book constitutes the refereed proceedings of the 12th International Conference on Field-Programmable Logic and Applications, FPL 2002, held in Montpellier, France, in September 2002. The 104 revised regular papers and 27 poster papers presented together with three invited contributions were carefully reviewed and selected from 214 submissions. The papers are organized in topical sections on rapid prototyping, FPGA synthesis, custom computing engines, DSP applications, reconfigurable fabrics, dynamic reconfiguration, routing and placement, power estimation, synthesis issues, communication applications, new technologies, reconfigurable architectures, multimedia applications, FPGA-based arithmetic, reconfigurable processors, testing and fault-tolerance, crypto applications, multitasking, compilation techniques, etc.

A major transformation in the world of networks is underway, as the focus shifts from physical technology to software-based solutions. In this book, the authors present this new generation of networks that are based in the Cloud by detailing the transition from a complex environment to a simple digital infrastructure. This infrastructure brings together connected devices, the antennas that collect radio waves, the optical fibers that carry signals and the data center that handles all of the different processes. From this perspective, the data center becomes the brain, managing network services, controls, automation, intelligence, security and other applications. This architecture is relevant to carrier networks, the Internet of Things, enterprise networks and the global networks of the major Internet companies. Cloud and Edge Networking further discusses developments at the border of networks, the Edge, where data is processed as near as possible to the source. Over the next ten years, the Edge will become a major strategic factor.

Short compute times are crucial for timely diagnostics in biomedical applications, but lead to a high demand in computing for new and improved imaging techniques. In this book reconfigurable computing with FPGAs is discussed as an alternative to multi-core processing and graphics card accelerators. Instead of adjusting the application to the hardware, FPGAs allow the hardware to also be adjusted to the problem. Acceleration of Biomedical Image Processing with Dataflow on FPGAs covers the transformation of image processing algorithms towards a system of deep pipelines that can be executed with very high parallelism. The transformation process is discussed from initial design decisions to working implementations. Two example applications from stochastic localization microscopy and electron tomography illustrate the approach further. Topics discussed in the book include:• Reconfigurable hardware• Dataflow computing• Image processing• Application acceleration

High-Performance Computing for Big Data: Methodologies and Applications explores emerging high-performance architectures for data-intensive applications, novel efficient analytical strategies to boost data processing, and cutting-edge applications in diverse fields, such as machine learning, life science, neural networks, and neuromorphic engineering. The book is organized into two main sections. The first section covers Big Data architectures, including cloud computing systems, and heterogeneous accelerators. It also covers emerging 3D IC design principles for memory architectures and devices. The second section of the book illustrates emerging and practical applications of Big Data across several domains, including bioinformatics, deep learning, and neuromorphic engineering. Features Covers a wide range of Big Data architectures, including distributed systems like Hadoop/Spark Includes accelerator-based approaches for big data applications such as GPU-based acceleration techniques, and hardware acceleration such as FPGA/CGRA/ASICs Presents emerging memory architectures and devices such as NVM, STT- RAM, 3D IC design principles Describes advanced algorithms for different big data application domains Illustrates novel analytics techniques for Big Data applications, scheduling, mapping, and partitioning methodologies Featuring contributions from leading experts, this book presents state-of-the-art research on the methodologies and applications of high-performance computing for big data applications. About the Editor Dr. Chao Wang is an Associate Professor in the School of Computer Science at the University of Science and Technology of China. He is the Associate Editor of ACM Transactions on Design Automations for Electronics Systems (TODAES), Applied Soft Computing, Microprocessors and Microsystems, IET Computers & Digital Techniques, and International Journal of Electronics. Dr. Chao Wang was the recipient of Youth Innovation Promotion Association, CAS, ACM China Rising Star Honorable Mention (2016), and best IP nomination of DATE 2015. He is now on the CCF Technical Committee on Computer Architecture, CCF Task Force on Formal Methods. He is a Senior Member of IEEE, Senior Member of CCF, and a Senior Member of ACM.

Currently, there are global endeavors to integrate network information into the natural world and human society. This process will lead to marked improvements in productivity and product quality, and to new production methods and lifestyles. Further, these advances will have significant impacts, similar to those of the agricultural and industrial revolutions. At the same time, it is profoundly changing competition around the globe. Security, economic, social, military and cultural trends generate new opportunities for national development, new living spaces for humans, new fields of social governance, and new momentum for industrial upgrading and international competition. Over the next 20 years, the development of network communication technologies will focus on three-domain human-network-thing interconnections and their systematic integration into various industries and regions. This will be made possible by digitalization, networking and intellectualization, and will result in the extended connection of human societies around the globe, and a continuously enriched and expanded network space. This book summarizes the development of network communication, both globally and in China, as well as its future prospects from the perspectives of academia, technology and industry. Further, in the context of technology and applications, it focuses on mobile communication, data communication, and optical fiber communication. Discussing application services related to the mobile Internet, Internet of Things, edge computing and quantum communication, it highlights the latest technological advances, future trends, technologies and industry development hotspots. Lastly, it explores 15 buzzwords in the field of network communication in technology and industrial development, providing definitions, and describing the state of development of related applications.