Title: Content-based load balancing of tasks using task clustering for cost optimisation in cloud computing environment

Authors: Kaushik Sekaran; P. Venkata Krishna

Addresses: Department of Computer Science and Engineering, Mahatma Gandhi Institute of Technology, Hyderabad, 500075, India ' Department of Computer Science and Engineering, Sri Padmavati Mahila Visvavidyalayam, Tirupati, India

Abstract: Cloud computing is the recent mantra for all the techies and internet users all around the world. The power of cloud computing is enormous as it provides big services in an optimal cost as well as in a reliable manner. Load balancing of tasks in the cloud server is an important issue to be addressed. In this paper, we propose a task clustering algorithm to minimise the load across the cloud servers through content-based load balancing of tasks using task clustering methods and cost reduction method for optimal energy consumption at all the cloud data centre heads. The results analysed in our paper are better when compared with existing content-based load balancing models. Our approach clearly represents the achievement of optimal load balancing of tasks with respect to upload bandwidth utilisation, minimal latency and some other quality of service (QoS) metrics.

Keywords: cloud computing; load balancing; tasks clustering; cost reduction; energy consumption; QoS; quality of service; metrics.

DOI: 10.1504/IJAIP.2022.121026

International Journal of Advanced Intelligence Paradigms, 2022 Vol.21 No.1/2, pp.1 - 17

Received: 28 Jul 2016
Accepted: 13 Mar 2017
Published online: 23 Feb 2022 *

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