CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Comparative Analysis of Scheduling Algorithms of Cloudsim in Cloud Computing

by Himani, Harmanbir Singh Sidhu
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 97 - Number 16
Year of Publication: 2014
Authors: Himani, Harmanbir Singh Sidhu
10.5120/17092-7629

Himani, Harmanbir Singh Sidhu . Comparative Analysis of Scheduling Algorithms of Cloudsim in Cloud Computing. International Journal of Computer Applications. 97, 16 ( July 2014), 29-33. DOI=10.5120/17092-7629

@article{ 10.5120/17092-7629,
author = { Himani, Harmanbir Singh Sidhu },
title = { Comparative Analysis of Scheduling Algorithms of Cloudsim in Cloud Computing },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 97 },
number = { 16 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 29-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume97/number16/17092-7629/ },
doi = { 10.5120/17092-7629 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:24:17.615799+05:30
%A Himani
%A Harmanbir Singh Sidhu
%T Comparative Analysis of Scheduling Algorithms of Cloudsim in Cloud Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 97
%N 16
%P 29-33
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud computing has emerged as a popular computing model to support on demand services and is rapidly becoming an important platform for scintific applications. It provide users with infrastructure, platform and software as amenity which is effortlessly accessible via Internet. It has a huge user group and has to deal with large number of task, so schedulling in cloud plays a vital role for task execution. In this paper, scheduling polices space-shared and time-shared are compared on the bases of some parametrs which are Task Profit, Task Penalty, Throughput and Net Gain. In our simulation results we shown that space-shared outperforms than time-shared policy.

References
  1. The NIST definition of cloud computing, NIST special publication 800-145.
  2. Sandeep Tayal, "Tasks Scheduling Optimization for the cloud computing systems", (IJAEST) International Journal Of Advanced Engineering Sciences and Technologies, Volume-5, No. 2, p 11 – 15, 2011.
  3. Vijindra and Sudhir Shenai. A, "Survey of Scheduling Issues in Cloud Computing", 2012, Elsevier Ltd.
  4. Isam Azawi Mohialdeen, "A Comparative Study of Scheduling Algorithms in Cloud Computing Environment" 2013 Science Publications.
  5. L. M. Vaquero, L. Rodero Merino, J. Caceres, and M. Lindner, "A break in the clouds: towards a cloud de?nition," ACMSIG COMM Computer Communication Review, vol. 39, no. 1, pp. 50–55,2008.
  6. Jiayin li, Meikang Qiu, "Online optimization for scheduling preemptively task on IaaS cloud systems", Elsevier Inc 2012.
  7. Rajkumar Buyya1, Rajiv Ranjan2 and Rodrigo N. Calheiros, "Modeling and Simulation of Scalable Cloud Computing Environments and the CloudSim Toolkit: Challenges and Opportunities".
  8. K. Liu; Y. Yang; J. Chen, X. Liu; D. Yuan; H. Jin, "A Compromised-Time- Cost Scheduling Algorithm in SwinDeW-C for Instance-intensive Cost-Constrained Workflows on Cloud Computing Platform", International Journal of High Performance Computing Applications, vol. 24, May,2010, Page no. 4 445 456.
  9. Abirami S. P and Shalini Ramanathan, " Linear Scheduling Strategy for Resource Allocation in Cloud Environment", International Journal on Cloud Computing: Services and Architecture(IJCCSA),Vol. 2, No. 1,February 2012.
  10. R. Santhosh, T. Ravichandran, "Pre-emptive Scheduling of On-line Real Time Services with Task Migration for Cloud Computing", International Conference on Pattern Recognition, IEEE, Feburary 2013.
  11. Xiaomin Zhua, Chuan Hea, Kenli Li, Xiao Qin, "Adaptive energy-efficient scheduling for realtime tasks on DVS-enabled heterogeneous clusters", J. Parallel Distrib. Comput, SciVerse ScienceDirect, 2012, Elsevier Inc.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Virtual Machine Scheduling CloudSim

Powered by PhDFocusTM