[PDF] Resource Management In Parallel And Distributed Systems eBook

Author : Shikharesh Majumdar
Publisher : John Wiley & Sons
Page : 324 pages
File Size : 48,44 MB
Release : 2024-09-06
Category : Computers
ISBN : 1119912954

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Comprehensive guide to the principles, algorithms, and techniques underlying resource management for clouds, big data, and sensor-based systems Resource Management on Distributed Systems provides helpful guidance by describing algorithms and techniques for managing resources on parallel and distributed systems, including grids, clouds, and parallel processing-based platforms for big data analytics. The book focuses on four general principles of resource management and their impact on system performance, energy usage, and cost, including end-of-chapter exercises. The text includes chapters on sensors, autoscaling on clouds, complex event processing for streaming data, and data filtering techniques for big data systems. The book also covers results of applying the discussed techniques on simulated as well as real systems (including clouds and big data processing platforms), and techniques for handling errors associated with user predicted task execution times. Written by a highly qualified academic with significant research experience in the field, Resource Management on Distributed Systems includes information on sample topics such as: Attributes of parallel/distributed applications that have an intimate relationship with system behavior and performance, plus their related performance metrics. Handling a lack of a prior knowledge of local operating systems on individual nodes in a large system. Detection and management of complex events (that correspond to the occurrence of multiple raw events) on a platform for streaming analytics. Techniques for reducing data latency for multiple operator-based queries in an environment processing large textual documents. With comprehensive coverage of core topics in the field, Resource Management on Distributed Systems is a comprehensive guide to resource management in a single publication and is an essential read for professionals, researchers and students working with distributed systems.

Author : Jacek Blazewicz
Publisher : Springer Science & Business Media
Page : 645 pages
File Size : 25,29 MB
Release : 2013-03-09
Category : Computers
ISBN : 3662043033

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Here, authors from academia and practice provide practitioners, scientists and graduates with basic methods and paradigms, as well as important issues and trends across the spectrum of parallel and distributed processing. In particular, they cover such fundamental topics as efficient parallel algorithms, languages for parallel processing, parallel operating systems, architecture of parallel and distributed systems, management of resources, tools for parallel computing, parallel database systems and multimedia object servers, as well as the relevant networking aspects. A chapter is dedicated to each of parallel and distributed scientific computing, high-performance computing in molecular sciences, and multimedia applications for parallel and distributed systems.

Author : Zoltan Juhasz
Publisher : Springer Science & Business Media
Page : 211 pages
File Size : 16,63 MB
Release : 2005-12-31
Category : Computers
ISBN : 0387230963

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DAPSY (Austrian-Hungarian Workshop on Distributed and Parallel Systems) is an international conference series with biannual events dedicated to all aspects of distributed and parallel computing. DAPSY started under a different name in 1992 (Sopron, Hungary) as regional meeting of Austrian and Hungarian researchers focusing on transputer-related parallel computing; a hot research topic of that time. A second workshop followed in 1994 (Budapest, Hungary). As transputers became history, the scope of the workshop widened to include parallel and distributed systems in general and the 1st DAPSYS in 1996 (Miskolc, Hungary) reflected the results of these changes. Distributed and Parallel Systems: Cluster and Grid Computing is an edited volume based on DAPSYS, 2004, the 5th Austrian-Hungarian Workshop on Distributed and Parallel Systems. The workshop was held in conjunction with EuroPVM/MPI-2004, Budapest, Hungary September 19-22, 2004.

Author : Dror G. Feitelson
Publisher : Springer Science & Business Media
Page : 243 pages
File Size : 50,44 MB
Release : 1999-10-13
Category : Business & Economics
ISBN : 3540666761

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This book constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP'99, held in San Juan, Puerto Rico, in April 1999, as a satelite meeting of IPPS/SPDP'99. The 12 revised full papers have been through an iterated reviewing process and present the state of the art in the area.

Author : B. Clifford Neuman
Publisher :
Page : 16 pages
File Size : 24,77 MB
Release : 1993
Category : Computer networks
ISBN :

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Abstract: "Multiprocessor systems should exist in the larger context of distributed systems, allowing multiprocessor resources to be shared by those that need them. Unfortunately, typical multiprocessor resource management techniques do not scale to large networks. The Prospero Resource Manager (PRM) is a scalable resource allocation system that supports the allocation of processing resources in large networks and multiprocessor systems. To manage resources in such distributed parallel systems, PRM employs three types of managers: system managers, job managers, and node managers. There exist multiple independent instances of each type of manager, reducing bottlenecks. The complexity of each manager is further reduced because each is designed to utilize information at an appropriate level of abstraction."

Author : Sushil K Prasad
Publisher : Morgan Kaufmann
Page : 359 pages
File Size : 30,20 MB
Release : 2015-09-16
Category : Computers
ISBN : 0128039388

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Topics in Parallel and Distributed Computing provides resources and guidance for those learning PDC as well as those teaching students new to the discipline. The pervasiveness of computing devices containing multicore CPUs and GPUs, including home and office PCs, laptops, and mobile devices, is making even common users dependent on parallel processing. Certainly, it is no longer sufficient for even basic programmers to acquire only the traditional sequential programming skills. The preceding trends point to the need for imparting a broad-based skill set in PDC technology. However, the rapid changes in computing hardware platforms and devices, languages, supporting programming environments, and research advances, poses a challenge both for newcomers and seasoned computer scientists. This edited collection has been developed over the past several years in conjunction with the IEEE technical committee on parallel processing (TCPP), which held several workshops and discussions on learning parallel computing and integrating parallel concepts into courses throughout computer science curricula. Contributed and developed by the leading minds in parallel computing research and instruction Provides resources and guidance for those learning PDC as well as those teaching students new to the discipline Succinctly addresses a range of parallel and distributed computing topics Pedagogically designed to ensure understanding by experienced engineers and newcomers Developed over the past several years in conjunction with the IEEE technical committee on parallel processing (TCPP), which held several workshops and discussions on learning parallel computing and integrating parallel concepts