April 2024
Intermediate to advanced
464 pages
13h 44m
English
book
Meta-Heuristic Algorithms for Advanced Distributed Systems
by Rohit Anand, Abhinav Juneja, Digvijay Pandey, Sapna Juneja, Nidhi Sindhwani
Content preview from Meta-Heuristic Algorithms for Advanced Distributed Systems
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About the Book
The main aim of using a distributed system is to simplify the problem of computation by sharing a common objective and distribute the complex problem into many simpler problems. The failure of each component is independent of the failure of the other components, and hence a distributed system is very reliable. Further, a distributed system may be scaled as per requirements. But a distributed system suffers from overhead more than a basic centralized system, and there is an issue of security and troubleshooting due to the distributed computing in the system.
Meta-heuristic techniques have a huge scope in optimization, and hence they may be applied to increase the efficiency of the distributed system and also to minimize cost and time. These intelligent techniques are based on global and local search and are very simple to apply. Various kinds of meta-heuristic techniques are derived from nature, and hence a lot of development is going on in this field.
This book will focus on the existing/modified/innovative meta-heuristic techniques for optimization purposes in various kinds of distributed systems.
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