CFP last date
20 June 2024
Reseach Article

A Review: Cloud Computing using Various Task Scheduling Algorithms

by Pirtpal Singh, Navpreet Kaur Walia
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 142 - Number 7
Year of Publication: 2016
Authors: Pirtpal Singh, Navpreet Kaur Walia

Pirtpal Singh, Navpreet Kaur Walia . A Review: Cloud Computing using Various Task Scheduling Algorithms. International Journal of Computer Applications. 142, 7 ( May 2016), 30-32. DOI=10.5120/ijca2016909931

@article{ 10.5120/ijca2016909931,
author = { Pirtpal Singh, Navpreet Kaur Walia },
title = { A Review: Cloud Computing using Various Task Scheduling Algorithms },
journal = { International Journal of Computer Applications },
issue_date = { May 2016 },
volume = { 142 },
number = { 7 },
month = { May },
year = { 2016 },
issn = { 0975-8887 },
pages = { 30-32 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2016909931 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T23:44:21.881684+05:30
%A Pirtpal Singh
%A Navpreet Kaur Walia
%T A Review: Cloud Computing using Various Task Scheduling Algorithms
%J International Journal of Computer Applications
%@ 0975-8887
%V 142
%N 7
%P 30-32
%D 2016
%I Foundation of Computer Science (FCS), NY, USA

Cloud Computing discusses to the use of computing, infra-structure, software, as a service. It’s a procedure of utility computing where the consumer need not own the essential infrastructure and pay for only what they use. Computing resources are transported as virtual machines. Proficient task scheduling apparatus can meet users' necessities, and advance the resource utilization, thereby improving the overall performance of the cloud computing environment. The role of task level scheduling in power organisation on multicore multiple voltage embedded systems. Task scheduling algorithms play an imperative role where the aim is to schedule the tasks efficiently so as to condense the improvement time and advance resource utilization. This paper represents two scheduling algorithms for scheduling tasks taking into attention their computational complexity and computing capacity of processing basics. Prior’s comparison studies have recurrently operated with shortening assumptions, such as independent tasks, affectedly generated difficulties or the assumption of zero communication delay.

  1. Raja Manish Singh, Sanchita Paul, and Abhishek Kumar. "Task Scheduling in Cloud Computing: Review." International Journal of Computer Science and Information Technologies 5.6 (2014): 7940-7944.
  2. Er Shimpy, and Mr Jagandeep Sidhu. "Different Scheduling Algorithms In Different Cloud Environment." algorithms 3.9 (2014).
  3. Mekkittikul, Adisak, and Nick McKeown. "A practical scheduling algorithm to achieve 100% throughput in input-queued switches." INFOCOM'98. Seventeenth Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings. IEEE. Vol. 2. IEEE, 1998.
  4. Shital Patil, et al. "Performance improvement in cloud computing through dynamic task scheduling algorithm." Next Generation Computing Technologies (NGCT), 2015 1st International Conference on. IEEE, 2015.
  5. S.Sindhu, and Saswati Mukherjee. "Efficient task scheduling algorithms for cloud computing environment." High Performance Architecture and Grid Computing. Springer Berlin Heidelberg, 2011. 79-83.
  6. Zhao, Yong, et al. "RAS: A Task Scheduling Algorithm Based on Resource Attribute Selection in a Task Scheduling Framework." Internet and Distributed Computing Systems. Springer Berlin Heidelberg, 2013. 106-119.
  7. Jin, Shiyuan, Guy Schiavone, and Damla Turgut. "A performance study of multiprocessor task scheduling algorithms." The Journal of Supercomputing43.1 (2008): 77-97.
  8. Li, Kun, et al. "Cloud task scheduling based on load balancing ant colony optimization." Chinagrid Conference (ChinaGrid), 2011 Sixth Annual. IEEE, 2011.
  9. Ding, Shun-Li, Jing-Bo Yuan, and Jiu-Bin Ju. "An algorithm for agent-based task scheduling in grid environments." Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on. Vol. 5. IEEE, 2004.
  10. Mathew, Tojo, K. Chandra Sekaran, and Jithin Jose. "Study and analysis of various task scheduling algorithms in the cloud computing environment."Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on. IEEE, 2014.
Index Terms

Computer Science
Information Sciences


Cloud Computing Task Scheduling Infra-Structure Software as-a- service and Scheduling Algorithms.