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A Novel Approach of Task Scheduling for Cloud Computing using Adaptive Firefly

by Jasmeen Kaur, Vinay Bhardwaj
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 147 - Number 12
Year of Publication: 2016
Authors: Jasmeen Kaur, Vinay Bhardwaj
10.5120/ijca2016911264

Jasmeen Kaur, Vinay Bhardwaj . A Novel Approach of Task Scheduling for Cloud Computing using Adaptive Firefly. International Journal of Computer Applications. 147, 12 ( Aug 2016), 9-13. DOI=10.5120/ijca2016911264

@article{ 10.5120/ijca2016911264,
author = { Jasmeen Kaur, Vinay Bhardwaj },
title = { A Novel Approach of Task Scheduling for Cloud Computing using Adaptive Firefly },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2016 },
volume = { 147 },
number = { 12 },
month = { Aug },
year = { 2016 },
issn = { 0975-8887 },
pages = { 9-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume147/number12/25704-2016911264/ },
doi = { 10.5120/ijca2016911264 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:51:44.264680+05:30
%A Jasmeen Kaur
%A Vinay Bhardwaj
%T A Novel Approach of Task Scheduling for Cloud Computing using Adaptive Firefly
%J International Journal of Computer Applications
%@ 0975-8887
%V 147
%N 12
%P 9-13
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud Computing organization deals with large scale, large amount of data, and the demand of computing power, needs to increase system investment. It is one of efficient technology that is popular now days in IT field. The paper proposes an Adaptive firefly algorithm for solving the job scheduling problem in cloud computing. The results of the algorithm were tested on cloudsim-3.0 by varying the configuration of virtual machines. After running the algorithm for different sets of jobs given to cloudsim-3.0, it is concluded that the results of Adaptive firefly are quite better than ACO.

References
  1. Bilgaiyan, Saurabh, et al. "Study of Task Scheduling in Cloud Computing Environment Using Soft Computing Algorithms". International Journal of Modern Education and Computer Science (IJMECS) 7.3 (2015): 32.
  2. Buyya, Rajkumar, Rajiv Ranjan, and Rodrigo N. Calheiros. "Modeling and simulation of scalable Cloud computing environments and the CloudSim toolkit: Challenges and opportunities." High Performance Computing & Simulation,2009. HPCS'09 International Conference on IEEE, 2009.
  3. Chang, Fangzhe, Jennifer Ren, and Ramesh Viswanathan. "Optimal resource allocation in clouds." Cloud Computing (CLOUD), 2010 IEEE 3rd International Conference on IEEE, 2010.
  4. Naik,P.Daniel, Martin Middendorf, and HartmutSchmeck. "Ant colony optimization for resource-constrained project scheduling."Evolutionary Computation, IEEE Transactions on 6.4 (2002): 333-346.
  5. Tawfeek M, et al. " Task Scheduling based on Ant Colony Optimization in a distributed cloud." Global Telecommunications Conference (GLOBECOM 2010)
  6. Liu, Jing, et al. "Job scheduling model for cloud computing based on multi-objective genetic algorithm." IJCSI International Journal of Computer Science Issues10.1 (2013): 134-139.
  7. Dillon, Tharam, Chen Wu, and Elizabeth Chang. "Cloud computing: issues and challenges." Advanced Information Networking and Applications (AINA), 2010 24th IEEE International Conference on.Ieee, 2010”.
  8. Pandey, Suraj, et al. "A particle swarm optimization-based heuristic for scheduling workflow applications in cloud computing environments." Advanced Information Networking and Applications (AINA), 2010 24th IEEE International Conference on.IEEE, 2010.
Index Terms

Computer Science
Information Sciences

Keywords

ACO AFA Task Scheduling.

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