Minimization of Makespan and Energy Consumption in Task Scheduling in Heterogeneous Cloud Environment

Authors

  • R. Priyadarshini Post-Doctoral Fellow, Computer Science Engineering, Faculty of Engineering,Lincoln University College, Malaysia.
  • Mukil Alagirisamy Associate Professor, Department of Electrical and Electronics Engineering, Faculty of Engineering, Lincoln University College, Malaysia
  • N. Rajendran Assistant Professor (Sr.Gr.), Department of Information Technology, B.S.Abdur Rahman Crescent Institute of Science and Technology, Chennai, India
  • Arun Kumar Marandi Assistant Professor, Department of Computer Science, Arka Jain University, Jamshedpur, Jharkhand, India
  • Vikas Vilasrao Patil Vikas Vilasrao patil, Assistant Professor, Bharati Vidyapeeth (Deemed to be University) Y. M. Institute of Management Karad
  • Vivek Associate Professor, Department of Computer Science Engineering, Faculty of Engineering and Technology, JAIN (Deemed-to-be University), Karnataka

Keywords:

Cloud computing, energy consumption, makespan reduction, task scheduling, cloudsim

Abstract

In today's IT industry, cloud computing is one of the technologies that is increasingly being used for regular corporate operations. The cloud is becoming more and more popular among businesses and research communities due to its many benefits, including on-demand self-service, quality of service, pay-per-usage pricing, virtualization, and elasticity. This research propose novel technique in makespan reduction with energy consumption for task scheduling. Here the cloud environment task scheduling for makespan reduction is carried out using gravitational grey wolf hybrid cuckoo scheduling. The simulation is suggested in the cloudsim programming environment, and the outcomes demonstrated the value of the energy-minimizing and makespan parameters. The simulation is suggested in the cloudsim programming environment, and the outcomes demonstrated the value of the energy-minimizing and makespan parameters. Proposed technique attained makespan of 67%, energy efficiency of 96%, execution speed of 79%, resource utilization of 63%, average waiting time of 66% for 500 number of tasks.

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References

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Proposed task scheduling architecture

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Published

19.12.2022

How to Cite

R. Priyadarshini, Mukil Alagirisamy, N. Rajendran, Arun Kumar Marandi, Vikas Vilasrao Patil, & Vivek. (2022). Minimization of Makespan and Energy Consumption in Task Scheduling in Heterogeneous Cloud Environment. International Journal of Intelligent Systems and Applications in Engineering, 10(2s), 276 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2400

Issue

Vol. 10 No. 2s (2022)

Section

Research Article

License

Copyright (c) 2022 R. Priyadarshini, Mukil Alagirisamy, N. Rajendran, Arun Kumar Marandi, Vikas Vilasrao Patil, Vivek

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