Metaheuristics for Scheduling in Distributed Computing Environments

Metaheuristics for Scheduling in Distributed Computing Environments pdf epub mobi txt 电子书 下载 2026

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出版者: 作者:Abraham, Ajith 编 出品人: 页数:382 译者: 出版时间: 价格:$ 236.17 装帧: isbn号码:9783540692607 丛书系列:
图书标签
  • Metaheuristics
  • Scheduling
  • Distributed Computing
  • Algorithms
  • Optimization
  • Heuristics
  • Parallel Computing
  • Task Scheduling
  • Resource Allocation
  • Computational Intelligence
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具体描述

Grid computing has emerged as one of the most promising computing paradigms of the new millennium Achieving high performance Grid computing requires techniques to efficiently and adaptively allocate jobs and applications to available resources in a large scale, highly heterogenous and dynamic environment. This volume presents meta-heuristics approaches for Grid scheduling problems. Due to the complex nature of the problem, meta-heuristics are primary techniques for the design and implementation of efficient Grid schedulers. The volume brings new ideas, analysis, implementations and evaluation of meta-heuristic techniques for Grid scheduling, which make this volume novel in several aspects. The 14 chapters of this volume have identified several important formulations of the problem, which we believe will serve as a reference for the researchers in the Grid computing community. Important features include the detailed overview of the various novel metaheuristic scheduling approaches, excellent coverage of timely, advanced scheduling topics, state-of-the-art theoretical research and application developments and chapters authored by pioneers in the field. Academics, scientists as well as engineers engaged in research, development and scheduling will find the comprehensive coverage of this book invaluable.

《Metaheuristics for Scheduling in Distributed Computing Environments》是一部深入探讨分布式计算环境中调度优化的一本专业性著作。书籍系统地介绍了现代调度技术在复杂计算任务中的应用,旨在帮助读者理解并掌握一系列实用的算法与方法。在这篇作品中,作者从理论基础出发,详细分析了多种适用于实际问题的搜索和优化策略。书中内容涵盖了贪婪算法、模拟退火、遗传算法以及粒子群优化的具体实现与应用案例,每一章节都紧密结合实际场景,解析调度任务的核心挑战与解决路径。 文章强调了分布式系统在并行计算中的重要性,并针对其动态环境下的调度需求提出了定制化优化方案。书中不仅介绍算法的理论原理,还深入探讨了参数调整、性能评估和优化策略,帮助读者从设计到应用全面提升调度系统的效率。书中还包含大量图示与实验数据,帮助理解不同方法在具体问题中的表现差异,为实践提供可靠依据。 此外,该书注重结合实际案例,展示如何将所述算法应用于真实的分布式计算场景,如大规模数据处理、云计算任务调度等。作者详细解释了每种方法的优势与局限性,并针对不同系统环境提出灵活运用建议。书中内容丰富,结构清晰,为研究者和从业人员提供了一份系统性的知识参考,同时也为后续相关研究奠定了坚实基础。 通过对复杂调度问题的深入剖析,这本书不仅帮助读者理解算法本身,更强调如何在实际操作中有效地部署这些技术,从而实现更高效、更稳定的计算资源管理。这是一份适合技术从业者和研究者深入学习的权威资料,内容全面且实用。 这个作品充分体现了对分布式系统复杂性的关注,不仅介绍了多种优化工具,还通过详细分析展示其在不同情境下的适用性,为读者提供了切实可行的解决思路和方法指导。这种深度和广度的内容设计,正是吸引专业读者的重要原因。

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