Showing results for "Distributed Multiple Description Coding Principles, Algorithms and Systems Huihui Bai German"

This book examines distributed video coding (DVC) and multiple description coding (MDC), two novel techniques designed to address the problems of conventional image and video compression coding. Covering all fundamental concepts and core technologies, the chapters can also be read as independent and self-sufficient, describing each methodology in sufficient detail to enable readers to repeat the corresponding experiments easily. Topics and features: provides a broad overview of DVC and MDC...

This book introduces novel solutions to the rendezvous problem in distributed systems, a fundamental problem that underpins the construction of many important functions in distributed systems and networks. The book covers rendezvous theories, distributed rendezvous algorithms, and rendezvous applications in practical systems, presents state-of-the-art rendezvous results and highlights the latest methods of rendezvous in distributed systems. It provides in particular an in-depth treatment o...

Learn how to structure, scale, and extend GenAI applications using 20+ software design patterns in a modular, production-ready architectureKey FeaturesApply 20+ classic design patterns to GenAI systems with real code examplesBuild a modular, extensible GenAI platform using proven software architecture principlesMaster pattern-driven approaches to prompt design, memory, model management, and APIsPurchase of the print or Kindle book incl...

Explore distributed database architecture, performance optimization, high availability, data availability, HTAP workloads, DFX and AI workload ready database design with TiDB, TiKV, TiFlash, and TiDB X architectureKey FeaturesUnderstand the architecture and internals of TiDB, TiKV, TiFlash, PD, and TiDBXOptimize distributed database performance through SQL tuning, indexing, monitoring, and configuration managementDesign scalable, high-availabil...

This book constitutes the refereed proceedings of the 26th IFIP WG 6.1 International Conference on Distributed Applications and Interoperable Systems, DAIS 2026, held in Urbino, Italy, during June 8-12, 2026, as part of the 21st International Federated Conference on Distributed Computing Techniques, DisCoTec 2026.The 7 full papers included in the proceedings were carefully reviewed and selected from 17 submissions. They were organized in topical sections as follows: Distributed Mac...

The advent of wireless sensor technology and ad-hoc networks has made DSC a major field of interest. Edited and written by the leading players in the field, this book presents the latest theory, algorithms and applications, making it the definitive reference on DSC for systems designers and implementers, researchers, and graduate students. This book gives a clear understanding of the performance limits of distributed source coders for specific classes of sources and presents the design and...

Build and deploy an efficient data processing pipeline for machine learning model training in an elastic, in-parallel model training or multi-tenant cluster and cloudKey FeaturesAccelerate model training and interference with order-of-magnitude time reductionLearn state-of-the-art parallel schemes for both model training and servingA detailed study of bottlenecks at distributed model training and serving stagesBook Description

This book constitutes the refereed proceedings of the 25th IFIP WG 6.1 International Conference on Distributed Applications and Interoperable Systems, DAIS 2025, held in Lille, France, as Part of the 20th International Federated Conference on Distributed Computing Techniques, DisCoTec 2025, during June 16–20, 2025.The 7 full papers included in this book were carefully reviewed and selected from 16 submissions.They focus on all practical and conceptual aspects of distributed applica...

With the rapid advancement of sensor technology and digital system, the capabilities of network communication have significantly improved, allowing multiple computing nodes to exchange information and collaborate seamlessly through networks. This progress has accelerated the development of distributed optimization theory and its applications in emerging fields such as low altitude economy, big data, and artificial intelligence. These emerging domains usually involve solving complex large-s...

This book focuses on improving the performance (convergence rate, communication efficiency, computational efficiency, etc.) of algorithms in the context of distributed optimization in networked systems and their successful application to real-world applications (smart grids and online learning). Readers may be particularly interested in the sections on consensus protocols, optimization skills, accelerated mechanisms, event-triggered strategies, variance-reduction communication techniques, ...

Adopt an effortless approach to avoid the hassles of complex concurrency and scaling patterns when building distributed applications in .NETKey FeaturesExplore the Orleans cross-platform framework for building robust, scalable, and distributed applicationsHandle concurrency, fault tolerance, and resource management without complex programming patternsWork with essential components such as grains and silos to write scalable programs with ease

This book constitutes the refereed proceedings of the 24th International Conference on Distributed Applications and Interoperable Systems, DAIS 2024, held in PhGroningen, The Netherlands, as Part of the 19th International Federated Conference on Distributed Computing Techniques, DisCoTec 2024, during June 17–21, 2024.The 5 full papers included in this book were carefully reviewed and selected from 17 submissions. They focus on all practical and conceptual aspects of distributed app...