CFP last date
22 April 2024
Reseach Article

Optimized Task Scheduling Algorithms in Distributed Computing: A Review

by Nidhi Tyagi, Vinita Sharma
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 35
Year of Publication: 2019
Authors: Nidhi Tyagi, Vinita Sharma
10.5120/ijca2019918345

Nidhi Tyagi, Vinita Sharma . Optimized Task Scheduling Algorithms in Distributed Computing: A Review. International Journal of Computer Applications. 182, 35 ( Jan 2019), 42-44. DOI=10.5120/ijca2019918345

@article{ 10.5120/ijca2019918345,
author = { Nidhi Tyagi, Vinita Sharma },
title = { Optimized Task Scheduling Algorithms in Distributed Computing: A Review },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2019 },
volume = { 182 },
number = { 35 },
month = { Jan },
year = { 2019 },
issn = { 0975-8887 },
pages = { 42-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number35/30293-2019918345/ },
doi = { 10.5120/ijca2019918345 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:13:24.051106+05:30
%A Nidhi Tyagi
%A Vinita Sharma
%T Optimized Task Scheduling Algorithms in Distributed Computing: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 35
%P 42-44
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cost is becoming the fruity factor to show the performance for any kind of experiment. Task scheduling algorithms are the valuable term in these days because of its performance in distributed computing environment. Market wants to pay minimum cost for every aspect. Task scheduling is performing the lead role in distributed computing with reducing cost. Various optimized task scheduling has been developed for execute the task efficiently. This paper proves that optimized task scheduling algorithms are better than traditional one’s ever.

References
  1. Wei Z and Rizos S, “Stochastic DAG scheduling using a Monte Carlo approach”, Journal of Parallel Distributed Computing, Vol.73 , pp. 1673-1689, 2013.
  2. Chu W.W., “Optimal File Allocation in a Multiple Computing System”, IEEE Trans. on Computer, Vol.C-18, pp.885-889, 1969.
  3. Yanyan D and Xiangli Z, “A Synthesized Heuristic Task Scheduling Algorithm”, Hindawi Publishing Corporation The Scientific World Journal, 2014.
  4. Ahmed Younes. Hamed ,“Task Allocation for Minimizing Cost of Distributed Computing Systems Using Genetic Algorithms” International Journal of Advanced Research in Computer Science and Software Engineering, Vol.2, Issue 9, September 2012.
  5. Ruchi Gupta, P.K Yadav, “Mathematical modeling of load Distribution problem in distributed Computing Environment-A State of Art.” International Journal of Advance Research in Computer Science Software Engineering, Vol.4 Issue 7, pp. 1106-1119, July 2014.
  6. Daoud MI, Nawwaf K, “A High Performance Algorithm For Static Task Scheduling In Heterogeneous Distributed Computing Systems”, IEEE Transactions on Parallel Distributed Systems, Vol.28, 2007.
  7. Nidhi Bansal, Amitab Maurya, Tarun Kumar, Manzeet Singh and Shruti Bansal, Cost performance of Qos driven task scheduling in cloud computing, ELSEVIER, Procedia Computer Science, International Conference on Recent Trends in Computing, vol. 57, pp. 126–130, 2015.
  8. Jigyasu Dubey and Vrinda Tokekar, “Bayesian Network Based Trust Model with Time Window for Pure P2P Computing Systems”, IEEE Global Conference on Wireless Computing and Networking, pp. 219–223, 2014.
  9. Ranjit R, “A Novel Approach for Task Scheduling in Multiprocessor System”, International Journal of Computer Applications, Vol.44, 2012.
  10. Marcin Markowski, “Tabu-Search Algorithm for Optimization of Elastic Optical Network Based Distributed Computing Systems”, Intelligent Data Engineering and Automated Learning, pp. 361-369, 2015.
  11. Ahmad, Ishfaq, and Yu-Kwong K, "On parallelizing the multiprocessor scheduling problem, "Parallel and Distributed Systems, IEEE Transactions, Vol.10, 1999.
  12. Yanyan D and Xiangli Z, “A Synthesized Heuristic Task Scheduling Algorithm”, Hindawi Publishing Corporation The Scientific World Journal, 2014.
  13. Varalakshmi Perumal, Judgi Thangavel, Saranya Ramasamy and Swathy Harish, “Dynamic Trust Establishment and Amended Window based Monitoring in Cloud”, IEEE International Symposium on Electronic System Design, pp. 162–166, 2013.
  14. Anjuli Garg and Dr. C. Rama Krishna, “An improved honey bees life scheduling algorithm for a public cloud”, International Conference on Contemporary Computing and Informatics, pp. 1140-1147, 2015.
  15. Guosun Zeng, “Trusted Dynamic Scheduling for Large-Scale Parallel Distributed System”,IEEE International Conference on Parallel Processing Workshops, pp. 137–144, 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Task scheduling Cost Distributed computing.