Deadline based task scheduling using multi-criteria decision-making in cloud environment

5Citations
Citations of this article
15Readers
Mendeley users who have this article in their library.

Abstract

Task scheduling within the deadline is more challenging due to different task parameters: start time, execution time, deadline and number of virtual machines (VMs). The OpenNebula platform supports Backfilling algorithm to schedule deadline based tasks. If there are similar types of tasks, then the scheduling performance should be enhanced. In this work, we propose, implementation of Multi-criteria Decision Making (MCDM) using VIKOR method to the existing backfilling algorithm. The VIKOR method is implemented as a decision maker to resolve conflicts among similar tasks. The mechanism finds the best ideal task among the similar tasks and ranks them for scheduling. Therefore, a number of tasks are scheduled. The performance is evaluated by analyzing the number of tasks scheduled, resource utilization and task rejection, which is quite better in comparison to the existing algorithm.

Cite

CITATION STYLE

APA

Nayak, S. C., & Tripathy, C. (2018). Deadline based task scheduling using multi-criteria decision-making in cloud environment. Ain Shams Engineering Journal, 9(4), 3315–3324. https://doi.org/10.1016/j.asej.2017.10.007

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free