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Reseach Article

Time and Load based Cloud Scheduling Algorithm

by Parampreet Singh Jaura
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 110 - Number 11
Year of Publication: 2015
Authors: Parampreet Singh Jaura
10.5120/19364-1004

Parampreet Singh Jaura . Time and Load based Cloud Scheduling Algorithm. International Journal of Computer Applications. 110, 11 ( January 2015), 34-40. DOI=10.5120/19364-1004

@article{ 10.5120/19364-1004,
author = { Parampreet Singh Jaura },
title = { Time and Load based Cloud Scheduling Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 110 },
number = { 11 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 34-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume110/number11/19364-1004/ },
doi = { 10.5120/19364-1004 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:46:07.717996+05:30
%A Parampreet Singh Jaura
%T Time and Load based Cloud Scheduling Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 110
%N 11
%P 34-40
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Due to the fast development of internet, a huge amount of load increases over data centers every second. This causes scheduling overhead, huge memory demand at data centers. Thus increases overhead effects the load balancing at data centers. So, there is a need of mechanisms which will decrease overhead and provide effective load balancing. Today, every load balancing scheduling algorithm balances the load on data centers that reside in the same region. They give birth to same problems like scheduling overhead, huge memory demand. This paper proposes a Load balancing scheduling algorithm which is based on load and time. This algorithm balances the load over the Data centers which reside in different regions. This mechanism will maximize hardware utilization, decrease huge memory demand and decrease cost.

References
  1. Buyya, Rajkumar. , Broberg, James. , Goscinski, Andrzej. "Cloud Computing Principles and Paradigms" (1sted. ). Hoboken, New Jersey, USA: Wiley, 2011.
  2. Ranjan Dinesh, Canino Anthony, Izaguirre A Jesus and Douglas Thain "Converting a High Performance Application to an Elastic Cloud Application" 3rd IEEE International Conference on Cloud Computing Technology and Science.
  3. Mao Hong, Zhang Zhenzhong, Zhao Bin, Xiao Limin and Ruan Li "Towards Deploying Elastic Hadoop in Cloud", International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery.
  4. Zhang Fan, Cao Junwei, Hwang Kai, Wu Cheng "Ordinal Optimized Scheduling of Scientific Workflows in Elastic Compute Clouds", IEEE, 2011.
  5. Lin Cui and Lu Shiyong "Scheduling Scientific Workflows For Cloud Computing", IEEE 4th International Conference on Cloud Computing, 2011.
  6. Genaud Stephane and Gossa Julien "Cost-wait Trade-offs in Client-side Resource Provisioning with Elastic Clouds", IEEE 4th International Conference on Cloud Computing, 2011.
  7. Ishii Atsushi and Suzumura Toyotaro "Elastic Stream Computing with Clouds", IEEE 4th International Conference on Cloud Computing, 2011.
  8. Tommaso Cucinotta, Konstanteli Kleopatra and Varvarigou Theodora "Probabilistic Admission Control for Elastic Cloud Computing".
  9. Marshall Paul, Tufo Henry and Kate Keahey "Provisioning Policies for Elastic Computing Environments", IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012.
  10. Indukuri Raju Krishnam R, P Varma Sureshand Moses Jose G "Performance measure of multi stage scheduling algorithm in cloud computing", IEEE IntemationalConference on Cloud Computing, Technologies, 2012.
  11. Yu Hongbo, Lan Yihua, Zhang Xingang and Liu Zhidu ) "Job Scheduling Algorithm In Cloud Environment", IEEE International Conference On Computational and Information Sciences, 2013.
  12. Antony Simy, Antony Soumya, A S Beegom Ajeena and M S Rajasree "Task Scheduling Algorithm with Fault Tolerance for Cloud", IEEE International Conference on Computer Sciences, 2012.
  13. Kaur Amandeep and Kinger Supriya "Analysis of Load Balancing Techniques in Cloud Computing", International Journal of Computers & Technology, 2013.
  14. Vijayalakshmi M. and Kumar Venkatesa V "Investigations on Job Scheduling Algorithms in Cloud Computing", International Journal of Advanced Research in Computer Science & Technology, 2014.
  15. Mohapatra Subasish, Rekha K. Smruti, Mohanty Subhadarshini "A Comparison of Four Popular Heuristics for Load Balancing of Virtual Machines, 2013.
  16. Bufferapp, Available: https://blog. bufferapp. com/best- time-to-tweet-post-to-facebook-send-emails-publish- blogposts.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Load Balancing Time based Scheduling