Open Access

ARTICLE

Chaotic Sandpiper Optimization Based Virtual Machine Scheduling for Cyber-Physical Systems

P. Ramadevi^1,*, T. Jayasankar¹, V. Dinesh², M. Dhamodaran³

1 Department of Electronics and Communication Engineering, University College of Engineering, BIT Campus, Anna University, Tiruchirapalli, 620025, India
2 Department of Electronics and Communication Engineering, Kongu Engineering College, Perundurai, 638060, India
3 Department of Electronics and Communication Engineering, M. Kumarasamy College of Engineering, Karur, 639113, India

* Corresponding Author: P. Ramadevi. Email:

Computer Systems Science and Engineering 2023, 44(2), 1373-1385. https://doi.org/10.32604/csse.2023.026603

Received 30 December 2021; Accepted 22 February 2022; Issue published 15 June 2022

Abstract

Recently, with the growth of cyber physical systems (CPS), several applications have begun to deploy in the CPS for connecting the cyber space with the physical scale effectively. Besides, the cloud computing (CC) enabled CPS offers huge processing and storage resources for CPS that finds helpful for a range of application areas. At the same time, with the massive development of applications that exist in the CPS environment, the energy utilization of the cloud enabled CPS has gained significant interest. For improving the energy effectiveness of the CC platform, virtualization technologies have been employed for resource management and the applications are executed via virtual machines (VMs). Since effective scheduling of resources acts as an important role in the design of cloud enabled CPS, this paper focuses on the design of chaotic sandpiper optimization based VM scheduling (CSPO-VMS) technique for energy efficient CPS. The CSPO-VMS technique is utilized for searching for the optimum VM migration solution and it helps to choose an effective scheduling strategy. The CSPO algorithm integrates the concepts of traditional SPO algorithm with the chaos theory, which substitutes the main parameter and combines it with the chaos. In order to improve the process of determining the global optimum solutions and convergence rate of the SPO algorithm, the chaotic concept is included in the SPO algorithm. The CSPO-VMS technique also derives a fitness function to choose optimal scheduling strategy in the CPS environment. In order to demonstrate the enhanced performance of the CSPO-VMS technique, a wide range of simulations were carried out and the results are examined under varying aspects. The simulation results ensured the improved performance of the CSPO-VMS technique over the recent methods interms of different measures.

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Keywords

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