分布式系统的资源管理：原理与技术

English | 2025 | ISBN: 1119912938 | 310 pages | PDF | 7.71 MB

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 on resource management questions 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 introduces four general principles of resource management with a discussion of their impact on system performance, energy usage, and cost, and includes a set of exercises at the end of a chapter. To provide extensive coverage of the subject, 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.

英文| 2025 |国际标准图书编号：1119912938 | 310页| PDF | 7.71 MB 云、大数据和基于传感器的系统的资源管理原理、算法和技术的综合指南。 分布式系统上的资源管理通过描述并行和分布式系统（包括网格、云和基于并行处理的大数据分析平台）上管理资源的算法和技术，为资源管理问题提供了有益的指导。 本书介绍了资源管理的四个一般原则，讨论了它们对系统性能、能源使用和成本的影响，并在一章末尾包括一组练习。为了提供对该主题的广泛报道，本文包括关于传感器、云上的自动缩放、流数据的复杂事件处理以及大数据系统的数据过滤技术的章节。 本书还涵盖了将所讨论的技术应用于模拟和真实系统（包括云和大数据处理平台）的结果，以及处理与用户预测的任务执行时间相关的错误的技术。 由一位在该领域拥有丰富研究经验的高素质学者撰写，分布式系统资源管理包括以下示例主题的信息 与系统行为和性能密切相关的并行/分布式应用程序的属性，以及它们的相关性能指标。处理大型系统中单个节点上缺乏本地操作系统先验知识的问题。在流分析平台上检测和管理复杂事件（对应于多个原始事件的发生）。在处理大型文本文档的环境中减少多个基于运算符的查询的数据延迟的技术。《分布式系统资源管理》全面涵盖了该领域的核心主题，是一本关于资源管理的综合指南，是使用分布式系统的专业人员、研究人员和学生的必读读物。

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