A deadline-based elastic approach for balanced task scheduling in computing cloud environment Online publication date: Wed, 19-Jan-2022
by K. Jairam Naik
International Journal of Cloud Computing (IJCC), Vol. 10, No. 5/6, 2021
Abstract: The cloud servicing environment allows sharing of parallelised virtual resource among tasks based on quality of service requirements. Proficient resource management and scheduling of tasks to execute within deadline is a challenging issue. Several approaches available at present for scheduling and workload balancing among the virtual machines (VM) in cloud, but most of them are not conforming to emerging features like elasticity for dynamic provisioning or deprovisioning of VM's while allocating workload. The proposed deadline based elastic approach for load balancing and scheduling (DL_ELBalTSch) considers the percentage of VM's overloaded or underloaded as a supporting threshold at that movement and takes decision either to raise or cut the VM's. This approach is competent enough to meet established deadline by raising successful execution rate of tasks on variable number of resources. The extensive simulations performed on CloudSim obtained higher task execution-ratio, and lower makespan-time and execution-cost when compared with existing approaches.
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 Cloud Computing (IJCC):
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