Mastering Grid Computing

Scheduling and Resource Management
Herausgeber: Ankita; Sahana, Sudip Kumar

• Gebundenes Buch

Produktbeschreibung

Details salient features of grid computing, introduces grid and its architecture and also discusses advances to the complex hybridized model of grid computing, grid scheduling, and grid resource management. It addresses problems causing grid bottlenecks, the formulation of solution strategies, implementation of grid scheduling, and more.

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Produktdetails

• Verlag: Apple Academic Press Inc.
• Seitenzahl: 206
• Erscheinungstermin: 9. Mai 2025
• Englisch
• Abmessung: 234mm x 156mm
• ISBN-13: 9781774918753
• ISBN-10: 1774918757
• Artikelnr.: 72543437

Autorenporträt

Ankita, PhD, is currently working as Assistant Professor at the Pranveer Singh Institute of Technology (PSIT), Kanpur, India, in the Department of Computer Science and Engineering. Her fields of interest are grid computing, artificial intelligence, and computational intelligence. She has authored research papers on computer science and has been assigned as a reviewer for several SCI-indexed journals and IEEE conferences. She received her bachelor's degree (BE) in Computer Science and Engineering from Nagpur University and her MTech and PhD degrees from the Birla Institute of Technology, Mesra, Ranchi, India. Sudip Kumar Sahana, PhD, is currently working as Associate Professor in the Department of Computer Science and Engineering at the Birla Institute of Technology, Mesra, India. His major field of study is in computer science. His research and teaching interests include soft computing, computational intelligence, distributed computing, and artificial intelligence. He has authored numerous articles, research papers, and books in the field of computer science and has been assigned as an editorial team member and reviewer for several reputed journals. He also holds several patents. He is a lifetime member of the Indian Society for Technical Education (ISTE) and fellow of the Institution of Electronics and Telecommunication Engineers (IETE), India. He received his BE degree in Computer Technology from Nagpur University, India, and MTech degree in Computer Science from the Birla Institute of Technology, Mesra, Ranchi, India, where he was awarded his PhD (Engineering) as well.

Inhaltsangabe

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