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Titlebook: Evolutionary Hierarchical Multi-Criteria Metaheuristics for Scheduling in Large-Scale Grid Systems; Joanna Ko?odziej Book 2012 Springer-Ve

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發(fā)表于 2025-3-21 19:30:34 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Evolutionary Hierarchical Multi-Criteria Metaheuristics for Scheduling in Large-Scale Grid Systems
編輯Joanna Ko?odziej
視頻videohttp://file.papertrans.cn/318/317962/317962.mp4
概述Complete coverage of the latest research on the novel bio-inspired hierarchic scalable models and methodologies in dynamic grid scheduling.Presents a detailed classification of scheduling problems.Pro
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Evolutionary Hierarchical Multi-Criteria Metaheuristics for Scheduling in Large-Scale Grid Systems;  Joanna Ko?odziej Book 2012 Springer-Ve
描述.One of the most challenging issues in modelling today‘s large-scale computational systems is to effectively manage highly parametrised distributed environments such as computational grids, clouds, ad hoc networks and P2P networks. Next-generation computational grids must.provide a wide range of services and high performance computing infrastructures. Various types of information and data processed in the large-scale dynamic grid environment may be incomplete, imprecise, and fragmented, which complicates the specification of proper evaluation criteria and which affects both the availability of resources and the final collective decisions of users. The complexity of grid architectures and grid management may also contribute towards higher energy consumption. All of these issues necessitate the development of intelligent resource management techniques, which are capable of capturing all of this complexity and optimising meaningful metrics for a wide range of grid applications..?.This book covers hot topics in the design, administration and management of dynamic grid environments with a special emphasis on the preferences and autonomous decisions of system users, secure access to the
出版日期Book 2012
關(guān)鍵詞Artificial Intelligence; Computational Intelligence; Genetic Algorithms; Green Computing; Grid Computing
版次1
doihttps://doi.org/10.1007/978-3-642-28971-2
isbn_softcover978-3-642-43661-1
isbn_ebook978-3-642-28971-2Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2012
The information of publication is updating

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Independent Batch Scheduling: ETC Matrix Model and Grid Simulatorspecification of the main scheduling objectives, namely makespan and flowtime, in terms of completion times of the grid computational nodes. This chapter ends with a outline of the main concept of the grid simulator dedicated to the batch scheduling. This simulator is used in the experimental analys
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Game-Theoretical Models of the Grid User Decisions in Security-Assured Scheduling: Basic Principles illustrate new scenarios in scheduling and resource allocation problems, such as asymmetric users’ relations, security and reliability restrictions in computational grids (CGs). Four GA-based hybrid schedulers are implemented for the approximation of the equilibriumstates of both games. The propose
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Evolutionary Inspired Solutions for Energy Management in Green Computing: State-of-the-Arts. However, such advancement has significantly strained the electrical energy resources, distribution, and protection systems. Therefore, in the past several years, engineers, researchers, and vendors have teamed up to design, develop, and test devices, procedures, methodologies, and algorithms that
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Energy-Aware Scheduling of Independent Tasks in Computational Gridsheduling problem in Computational Grids (CGs). The . methodology is used for both scaling the power supply of the grid resources and reducing the cumulative power energy utilized by the grid computing machines. Two implementations of HGS-Sched—with elitist and struggle replacement mechanisms respect
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1860-949X ?.This book covers hot topics in the design, administration and management of dynamic grid environments with a special emphasis on the preferences and autonomous decisions of system users, secure access to the 978-3-642-43661-1978-3-642-28971-2Series ISSN 1860-949X Series E-ISSN 1860-9503
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