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Principles of Distributed Systems
This book constitutes the refereed proceedings of the 12th International Conference on Principles of Distributed Systems, OPODIS 2008, held in Luxor, Egypt, in December 2008. The 30 full papers and 11 short papers presented were carefully reviewed and selected from 102 submissions. The conference focused on the following topics: communication and synchronization protocols; distributed algorithms and multiprocessor algorithms; distributed cooperative computing; embedded systems; fault-tolerance, reliability and availability; grid and cluster computing; location- and context-aware systems; mobile agents and autonomous robots; mobile computing and networks; peer-to-peer systems and overlay networks; complexity and lower bounds; performance analysis of distributed systems; real-time systems; security issues in distributed computing and systems; sensor networks; specification and verification of distributed systems; and testing and experimentation with distributed systems.
Principles of Distributed Systems
This book constitutes the refereed proceedings of the 16th International Conference on Principles of Distributed Systems, OPODIS 2012, held in Rome, Italy, in December 2012. The 24 papers presented were carefully reviewed and selected from 89 submissions. The conference is an international forum for the exchange of state-of-the-art knowledge on distributed computing and systems. Papers were sought soliciting original research contributions to the theory, specification, design and implementation of distributed systems.
Graph Theory
None
Wireless Sensor Networks and the Internet of Things
Wireless Sensor Networks and the Internet of Things: Future Directions and Applications explores a wide range of important and real-time issues and applications in this ever-advancing field. Different types of WSN and IoT technologies are discussed in order to provide a strong framework of reference, and the volume places an emphasis on solutions to the challenges of protection, conservation, evaluation, and implementation of WSN and IoT that lead to low-cost products, energy savings, low carbon usage, higher quality, and global competitiveness. The volume is divided into four sections that cover: Wireless sensor networks and their relevant applications Smart monitoring and control systems w...
Impossibility Results for Distributed Computing
To understand the power of distributed systems, it is necessary to understand their inherent limitations: what problems cannot be solved in particular systems, or without sufficient resources (such as time or space). This book presents key techniques for proving such impossibility results and applies them to a variety of different problems in a variety of different system models. Insights gained from these results are highlighted, aspects of a problem that make it difficult are isolated, features of an architecture that make it inadequate for solving certain problems efficiently are identified, and different system models are compared.
Network Flow Algorithms
Network flow theory has been used across a number of disciplines, including theoretical computer science, operations research, and discrete math, to model not only problems in the transportation of goods and information, but also a wide range of applications from image segmentation problems in computer vision to deciding when a baseball team has been eliminated from contention. This graduate text and reference presents a succinct, unified view of a wide variety of efficient combinatorial algorithms for network flow problems, including many results not found in other books. It covers maximum flows, minimum-cost flows, generalized flows, multicommodity flows, and global minimum cuts and also presents recent work on computing electrical flows along with recent applications of these flows to classical problems in network flow theory.
Parallel Computational Geometry
This authoritative guide presents the latest techniques used in parallel computational geometry, including algorithmic analysis and design, and practical implementation strategies. With contributions from leading experts, A. Aggarwal, C. O'Dunlaing, and C. Yap, this is an essential resource for researchers and practitioners in the field. This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Efficient Parallel Algorithms
Mathematics of Computing -- Parallelism.
Parallel Computational Geometry
This is a unified, tutorial description of the most widely used models of parallel computation and their application to problems in computational geometry. Each chapter offers an in-depth analysis of a problem in computational geometry and presents parallel algorithms to solve them. Comparative tables summarize the various algorithms developed to solve each problem. A wide range of models of parallel computation to develop the algorithms - parallel random access machine (PRAM) - are considered, as well as several networks for interconnecting processors on a parallel computer.
