Title: The effective tasks management of workflows inspired by NIM-game strategy in smart grid environment

Authors: Basetty Mallikarjuna

Addresses: School of Computing Science and Engineering, Galgotias University, Greater Noida, Gautam Budh Nagar, Uttar Pradesh 203201, India

Abstract: In smart grid environment incorporated with IoT-based cloud infrastructure, management of efficiency is a paradigm. This procedure considers an adversary search technique (ADVST). It approaches the MINIMAX algorithm on virtual machines for management of workflows in IoT-based cloud infrastructure, which is named as a VM_MINMAX algorithm. The algorithm finds the over-loaded-tasks group named as VM_MAXIMISER. The under-loaded-tasks group named as VM_MINIMISER and the balanced-tasks group named as VM_BALANCED. The VM_MINMAX algorithm is used for effective tasks management strategy, and it can be achieved, by moving the workflows from heavily-loaded-VMs to low-loaded-VMs. It balances over VMs as VM_BALANCED and reduces the non-critical-workflow-tasks and effective allocation of critical-workflow-tasks, with respect to make-span and average make-span of VMs. The algorithm has been tested with different parameters such as throughput, overhead, resource utilisation, response time, scalability and performance and proved.

Keywords: adversary search technique; virtual machine; VM_MINMAX algorithm; VM_MAXIMISER group; VM_MINIMISER group; VM_BALANCED group.

DOI: 10.1504/IJPEC.2022.125206

International Journal of Power and Energy Conversion, 2022 Vol.13 No.1, pp.24 - 47

Received: 03 Aug 2020
Accepted: 20 Aug 2020
Published online: 02 Sep 2022 *

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