Distributed And Parallel Systems
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Distributed and Parallel Systems
Author: Peter Kacsuk
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-05-03
Distributed and Parallel Systems: From Cluster to Grid Computing, is an edited volume based on DAPSYS 2006, the 6th Austrian-Hungarian Workshop on Distributed and Parallel Systems, which is dedicated to all aspects of distributed and parallel computing. The workshop was held in conjunction with the 2nd Austrian Grid Symposium in Innsbruck, Austria in September 2006. This book is designed for a professional audience composed of practitioners and researchers in industry. It is also suitable for advanced-level students in computer science.
Distributed and Parallel Systems
Author: Péter Kacsuk
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
Distributed and Parallel Systems: From Instruction Parallelism to Cluster Computing is the proceedings of the third Austrian-Hungarian Workshop on Distributed and Parallel Systems organized jointly by the Austrian Computer Society and the MTA SZTAKI Computer and Automation Research Institute. This book contains 18 full papers and 12 short papers from 14 countries around the world, including Japan, Korea and Brazil. The paper sessions cover a broad range of research topics in the area of parallel and distributed systems, including software development environments, performance evaluation, architectures, languages, algorithms, web and cluster computing. This volume will be useful to researchers and scholars interested in all areas related to parallel and distributed computing systems.
A Calculus of Distributed and Parallel Processes
Author: Clemens H. Cap
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
It is the good reader that makes the good book. RALPH WALDO EMERSON, Society & Solitude. In the course of two projects, the author of this book was involved in the design of the platforms PARFORM [CS93) and LOLA [Cap94), [CS) for the support of parallel computing in distributed systems. The former system was geared towards the highly efficient use of idle resources in networks of workstations, and the latter system was intended as a scalability study: How many workstations in the global Internet can be used simultaneously for solving a massively parallel problem? In one of the experiments conducted with these systems, up to 800 workstations on all five continents were cooperating for the solution of a search problem from molecular biology [Cap94). The most important lessons which the author was forced to learn during the course of these projects were not to rely on any documentation of network-and low-level system-calls, to use neither common sense nor mathematical logic during the design of a large distributed system, but to be happy with a working program, and not to ask, why it would work.