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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22Advances in Resource Management Through the Integration of Distributed Computing Approaches
K. Jayalakshmamma1 Veena P. Vemuri2, Elena Y. Zegarra3, Jitendra Gowrabhathini4, Fred Torres-Cruz5, Julio C.L. Huanca6, and José L.A. Gonzáles7
1Government RC College of Commerce and Management, Bengaluru, Karnataka, India
2NKES College of Arts, Commerce, and Science, Mumbai, India
3Academic Department of Accounting Sciences, Universidad Nacional del Altiplano de Puno, Puno, Peru
4K L Business School, Koneru Lakshmaiah Education Foundation, K L University, Vijayawada, Andhra Pradesh, India
5Academic Department of Statistics and Computer Engineering, Universidad Nacional del Altiplano de Puno, Puno, Peru
6Academic Department of Basic Sciences, Universidad Nacional de Juliaca, Puno, Peru
7Department of Business, Pontifical Catholic University of Peru, Lima, Peru
22.1 Introduction
Resource management is a critical function for organizations that rely on computing resources to support their operations. In today’s complex and dynamic computing environments, traditional approaches to resource management are no longer sufficient. Distributed computing approaches, such as grid computing, cloud computing, and EC, are increasingly being used to manage computing resources across different locations, networks, and systems. These approaches offer significant benefits, including improved scalability, flexibility, and efficiency. However, integrating these approaches for resource management can also ...
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