Scientific Workflow Analysis of Advanced Deadline Sensitive Scheduling Approaches in Cloud Computing

  • Vivek Sharma, Akhilesh Kumar Singh, Manish Raj

Abstract

Cloud computing technology in the field of high performance distributed computing has become a milestone as it provides shared computing and storage resources as a service upon request of user. Also with the advent of the computers, scheduling problem got good attention in innumerous fields and arose in industries and technology as well. Service provider’s main requirement is the productive utilization of available resources because, it’s altogether demanding to supply on demand resources to the users in a best possible manner for improving performance and faster computation time. In this paper we present a review to act as an aid to the new comer researchers to understand various advanced techniques proposed by researchers on deadline sensitive task scheduling in cloud computing. The schemes reviewed in this paper include grouped task scheduling, deadline sensitive lease scheduling, scientific workflow scheduling, resource provisioning, pair-based task scheduling, workflow in multi-tenant cloud environment etc. We also performed a comparative analysis of these approaches and their parameters. Our goal of reviewing the scheduling literature is to scrutinize the interest in different problems among the proposed techniques and algorithms.

Published
2020-03-12
How to Cite
Manish Raj, V. S. A. K. S. (2020). Scientific Workflow Analysis of Advanced Deadline Sensitive Scheduling Approaches in Cloud Computing. International Journal of Advanced Science and Technology, 29(3), 4826- 4833. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/5696
Section
Articles