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Bio-inspired Algorithms in Load Balancing for Cloud Computing - A Survey


C. Vinothini, P. Balasubramanie and J. Vakula Rani
Abstract

Cloud computing offers online tools to access various types of services or tools, removing the need for centralized data access. There are many problems in cloud technology, although incident action such as the availability of services, load discrepancy and efficiency improvements are being resolved through bio-inspired algorithms. Bio-inspired algorithms attempt to avoid different issues by offering customized solutions, inevitably. While not used to a larger degree in cloud computing, it is important in communication, analytical thinking, information retrieval, wireless communications, and so on. The flexibility impacts use of bio-inspired algorithms to resolve key cloud computing challenges. The article includes a detailed analysis of bio-inspired algorithms to fix and automate resource management, task scheduling, document retrieval and cloud computing privacy concerns. The research compares the efficiency, response time and cost optimization of every cloud computing system applicable algorithm.

Volume 12 | Issue 7

Pages: 837-842

DOI: 10.5373/JARDCS/V12I7/20202068