The effective tasks management of workflows inspired by NIM-game strategy in smart grid environment Online publication date: Fri, 02-Sep-2022
by Basetty Mallikarjuna
International Journal of Power and Energy Conversion (IJPEC), Vol. 13, No. 1, 2022
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 VMMINMAX algorithm. The algorithm finds the over-loaded-tasks group named as VMMAXIMISER. The under-loaded-tasks group named as VMMINIMISER and the balanced-tasks group named as VMBALANCED. The VMMINMAX 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 VMBALANCED 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.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Power and Energy Conversion (IJPEC):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook