Title: Energy-aware multi-objective job scheduling in cloud computing environment with water wave optimisation

Authors: G.B. Hima Bindu; T. Sunil Kumar Reddy

Addresses: Department of IT, Sri Venkateswara College of Engineering and Technology (Autonomous), Chittoor – 517001, Andhra Pradesh, India ' Department of CSE, Sri Venkateswara College of Engineering and Technology (Autonomous) Chittoor – 517001, Andhra Pradesh, India

Abstract: Job scheduling is the process of assigning the jobs to the virtual machine based on their operations is sequential manner. Each operation is composed of set of instructions and has variable completion time. Virtual machines can execute single job at a time and the preemption is not possible at the time of job execution. Therefore, scheduling the job to the appropriate resource is a crucial task in cloud computing. Hence this paper intends to develop an advanced JSP in cloud environment using an enhanced water wave optimisation (WWO) algorithm known as control adaptive based WWO (CAP - WWO). Moreover the proposed scheme is compared with conventional algorithms and the results proved the efficiency of the proposed algorithm.

Keywords: job - shop scheduling; WWO; water wave optimisation; execution time; utilisation rate; throughput; makespan.

DOI: 10.1504/IJAIP.2024.142670

International Journal of Advanced Intelligence Paradigms, 2024 Vol.29 No.2/3, pp.234 - 247

Received: 21 Nov 2018
Accepted: 09 Aug 2019
Published online: 15 Nov 2024 *

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