Mastering Grid Computing : Scheduling and Resource Management

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Mastering Grid Computing : Scheduling and Resource Management

Ankita (EDT)/ Sahana, Sudip Kumar (EDT)

ウェブストア価格 ¥30,624（本体¥27,840）
Apple Academic Press Inc.（2025/05発売）
外貨定価 US$ 150.00
ポイント 278pt

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製本 Hardcover:ハードカバー版／ページ数 206 p.
言語 ENG
商品コード 9781774918753
DDC分類 004.36

Full Description

Grid computing, a computing infrastructure that combines computer resources spread over different geographical locations to achieve a common goal, is seen as an efficient solution to solve complex real-world computer problems in a shorter time. Grid computing makes it easier to collaborate with other organizations, makes better use of existing hardware, and reduces transmission congestion, leading to more efficient electricity markets, improved power quality, and a reduced environmental impact.

Highlighting the salient features of grid computing, this new book begins with the basic definition of grid and its architecture and also discusses advances to the complex hybridized model of grid computing, grid scheduling, and grid resource management. The chapters address different problems causing grid bottlenecks, the formulation of solution strategies, implementation of grid scheduling, along with case studies of grid computing. It introduces several scheduling algorithms and evaluates the efficiency of these algorithms using comparative analysis while also discussing grid simulators.

The book will be a valuable guide for new and experienced researchers and will advance their understanding of the concept of grid computing in a broader perspective. Starting from the basic definition of grid and its architecture to the complex hybridized model of scheduling, this book is a comprehensive resource on grid computing, grid scheduling, and grid resource management.

Introduction PART 1: FOUNDATIONS 1. Introduction to Grid Computing 2. Scheduling: Conventional and Bio-Inspired Algorithms 3. Work Done Using Conventional and Bio-Inspired Algorithms 4. Scheduling Algorithms: Modified and Hybrid Algorithms PART 2: IMPLEMENTATION OF SCHEDULING ALGORITHMS 5. Research-Based Case Study to Solve Grid-Scheduling Problems Using FCFS, SJF, ACO, PSO, and GA 6. Research-Based Case Study to a Solve Grid Scheduling Problem Using Modified and Hybrid Algorithms: ACOthresh, SJF- ACOthresh, and SJF-GA PART 3: PERFORMANCE COMPARISON OF ALGORITHMS 7. Comparison of Conventional, Bio-Inspired and Hybrid Algorithms: A Review 8. New Computing Platforms for Solving Convoluted Engineering Problems: A Review