We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

Task Scheduling for Utilization of Resources using Cloud Computing

by Shivani, Harkomalpreet Kaur
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 174 - Number 4
Year of Publication: 2017
Authors: Shivani, Harkomalpreet Kaur
10.5120/ijca2017915380

Shivani, Harkomalpreet Kaur . Task Scheduling for Utilization of Resources using Cloud Computing. International Journal of Computer Applications. 174, 4 ( Sep 2017), 26-29. DOI=10.5120/ijca2017915380

@article{ 10.5120/ijca2017915380,
author = { Shivani, Harkomalpreet Kaur },
title = { Task Scheduling for Utilization of Resources using Cloud Computing },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2017 },
volume = { 174 },
number = { 4 },
month = { Sep },
year = { 2017 },
issn = { 0975-8887 },
pages = { 26-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume174/number4/28396-2017915380/ },
doi = { 10.5120/ijca2017915380 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:21:16.356337+05:30
%A Shivani
%A Harkomalpreet Kaur
%T Task Scheduling for Utilization of Resources using Cloud Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 174
%N 4
%P 26-29
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud Computing if a form of Internet –based computing that provides shared processing resources and data to computers and other devices on demand. It is a model for enabling ubiquitous, on-demand access to a shared pool of configurable computing resources (e.g., computer networks, server, storage, application and services) which can be rapidly provisioned and released with minimal management effort. Basically, Cloud computing allow the users and enterprises with various capabilities to store and processes their data in either privately owned cloud, or on a third party server in order to make data accessing mechanisms much more easy and reliable. Data Centers that may be located far from the user –ranging in distance from access a city to access the world .Cloud computing relies on sharing of resources to achieve coherence and economy of scale , similar to a utility (like the electricity grid) over an electricity network. In cloud computing, usually there are number of jobs that need to be executed with the available resources to achieve optimal performance, least possible total time for completion, shortest response time, and efficient utilization of resources etc.

References
  1. Tarek Z, Zakria M,.Omara F A, “PSO Optimization algorithm for Task Scheduling on The Cloud Computing Environment”, ISSN 2277-3061, International Journal of Computers And Technology Vol. 13, No. 9
  2. Mathukiya E.S, Gohel P.V, “Efficient Qos Based Tasks Scheduling using Multi-Objective Optimization for Cloud Computing”, International Journal of Innovative Research in Computer and Communication Engineering Vol. 3, Issue 8, August 2015
  3. Lakra. A.V, Yadav. D.K,” Multi-Objective Tasks Scheduling Algorithm for Cloud Computing Throughput Optimization ,” International Conference on Intelligent Computing , Communication & Convergence , 2015
  4. Brar S. S., Rao S., “Optimizing Workflow Scheduling using Max-Min Algorithm in Cloud Environment”, International Journal of Computer Applications (0975 – 8887)Volume 124 – No.4, August 2015
  5. Bhoi U, Ramanuj P.N, “Enhanced Max-min Task Scheduling Algorithm in Cloud Computing”, International Journal of Application or Innovation in Engineering and Management, Volume 2, Issue 4, April 2013
  6. Kaur N., Kaur K, “Improved Max-Min Scheduling Algorithm”, IOSR Journal of Computer Engineering (IOSR-JCE)e-ISSN: 2278- 0661,p-ISSN: 2278-8727, Volume 17, Issue 3, Ver. 1 (May – Jun. 2015), PP 42-49 Sun H, Chen S.P, Jin C, Guo K, “Research and Simulation of Task Scheduling Algorithm in Cloud Computing”, TELKOMNIKA, Vol.11, No.11, November 2013, pp. 6664~6672e-ISSN: 2087-278X
  7. Chen H, Wang F, Dr Helian N, Akanmu G, “User-Priority Guided Min-Min Scheduling Algorithm for Load Balancing in Cloud Computing”
  8. Etminani K, Naghibzadeh M, “A Min-Min Max-Min selective algorithm for grid task scheduling”, DOI: 10.1109/CANET.2007.4401694 · Source: IEEE Xplore
  9. Liu J, Luo X. G, Zhang X.M, Zhang F and Li B.N, “Job Scheduling Model for Cloud Computing Based on Multi-Objective Genetic Algorithm”, IJCSI International Journal of Computer Science Issues, Vol. 10, Issue 1, No 3, January 2013
  10. Pandey S, Wu L, Guru S M, Buyya1R, “A Particle Swarm Optimization-based Heuristic for Scheduling Work flow Applications in Cloud Computing Environments”
  11. Tripathy L, Patra R.R, “Scheduling In Cloud Computing”, International Journal on Cloud Computing: Services and Architecture (IJCCSA) Vol. 4, No. 5, October 2014 Agarwal A, Jain S, “Efficient Optimal Algorithm of Task Scheduling in Cloud Computing Environment”, International Journal of Computer Trends and Technology (IJCTT) – volume 9 number 7– Mar 2014
  12. Ghanbaria S, Othman M, “A Priority based Job Scheduling Algorithm in Cloud Computing”, International Conference on Advances Science and Contemporary Engineering 2012(ICASCE 2012)
Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Task Scheduling Algorithms