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Optimization of Tasks in Mobile Cloud Computing

by Neha Gupta, Parminder Singh, Manveen Kaur
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 107 - Number 4
Year of Publication: 2014
Authors: Neha Gupta, Parminder Singh, Manveen Kaur
10.5120/18736-9978

Neha Gupta, Parminder Singh, Manveen Kaur . Optimization of Tasks in Mobile Cloud Computing. International Journal of Computer Applications. 107, 4 ( December 2014), 1-4. DOI=10.5120/18736-9978

@article{ 10.5120/18736-9978,
author = { Neha Gupta, Parminder Singh, Manveen Kaur },
title = { Optimization of Tasks in Mobile Cloud Computing },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 107 },
number = { 4 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume107/number4/18736-9978/ },
doi = { 10.5120/18736-9978 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:40:08.934064+05:30
%A Neha Gupta
%A Parminder Singh
%A Manveen Kaur
%T Optimization of Tasks in Mobile Cloud Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 107
%N 4
%P 1-4
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Mobile cloud computing is a new platform for the execution of mobile applications where cloud performs the stimulating computing-intensive tasks and storing data in place of the mobile devices and provides them an illusion of infinite computing resources. This research work considers a cloud based mobile computing system consisting of virtual machines (as resources), cloudlets (as requests) and broker, where the broker assigns user cloudlet requests to virtual machines to be processed by the servers. It has been a great challenge to design and build an effective load balancing algorithm for the broker which spreads the service request load on virtual machines while utilizing the resources to the maximum. In this paper, a scheduling model to optimize the load based on maximum resource utilization rate using genetic algorithm for scheduling requests is proposed where the computing capacity of a datacenter is divided into number of tiers. Simulation results shows that the proposed work can effectively cope with the load imbalance problem in mobile cloud computing.

References
  1. Amandeep Kaur, "Analysis of Load Balancing Techniques in Cloud Computing", International Journal of Computers & Technology, vol. 4, no. 2, pp. 2277-3061, March-April, 2013.
  2. Arash Ghorbannia Delavar, Mahdi Javanmard , Mehrdad Barzegar Shabestari and Marjan Khosravi Talebi "Reliable Scheduling Distributed In Cloud Computing" International Journal of Computer Science Engineering and Applications (IJCSEA) vol. 2, no. 3, pp. 1-16, June 2012.
  3. B. Subramani, "A New Approach For Load Balancing In Cloud Computing", IEEE vol. 2, pp. 1636-16405, May 2013.
  4. Dihal, Soebhaash, "Mobile cloud computing: state of the art and outlook", Emerald Group Publishing Ltd, vol. 15, pp. 4-16, 2013.
  5. Dr. M. Dakshayini, Dr. H. S. Guruprasad "An Optimal Model for Priority based Service Scheduling Policy for Cloud Computing Environment" International Journal of Computer Applications, vol. 32, no. 9, pp. 23-29, October 2011.
  6. El-Sayed T, El-kenawy, Ali Ibraheem, El-Desoky, Mohamed F and Al-rahamawy, "Extended Max-Min Scheduling Using Petri Net and Load Balancing" International Journal of Soft Computing and Engineering (IJSCE), vol. 2, September 2012.
  7. Entezari-Maleki and Saeed Parsa, "RASA: A New Task Scheduling Algorithm in Grid Environment" World Applied Sciences Journal, vol. 2, no. 7, pp. 152-160, 2009.
  8. Gaochao Xu, Junjie Pang and Xiaodong Fu," A Load Balancing Model Based on Cloud Partitioning for the Public Cloud" Tsinghua Science And Technology,lvol. 18, no. 2, pp. 34-39, February 2013.
  9. Gaurav Raj, Ankit Nischal, "Efficient Resource Allocation in Resource provisioning policies over Resource Cloud Communication Paradigm" International Journal on Cloud Computing: Services and Architecture (IJCCSA), vol. 2, no. 3, pp. 11-18, June 2012.
  10. Huber Flores, Satish Narayana Srirama, Carlos Paniagua, "Towards mobile cloud applications: Offloading resource intensive tasks to hybrid clouds", International Journal of Pervasive Computing and Communications, vol. 8, pp. 344-367, 2012.
  11. Ioannis Moschakis, A. Karatza, D. Helen, "Performance and Cost evaluation of Gang Scheduling in a Cloud Computing System with Job Migrations and Starvation Handling" IEEE, vol. 4, pp. 418-423, June-July 2011.
  12. Kahina Bessai, Samir Youcef, Ammar Oulamara, Claude Godart and Selmin Nurcan, "Bi-criteria workflow tasks allocation and scheduling in Cloud computing environments" , IEEE, vol. 4, pp. 638-645, 2012.
  13. Kyi, Mon Hsu and Naing Thinn Thu, "Stochastic Markov Model Approach For Efficient Virtual Machines Scheduling On Private Cloud", International Journal on Cloud Computing: Services and Architecture(IJCCSA), vol. 1, no. 3, pp. 1-13, November 2011.
  14. Linan Zhu, Qingshui Li and Lingna, "Study on Cloud Computing Resource Scheduling Strategy Based on the Ant Colony Optimization Algorithm" International Journal of Computer Science Issues (IJCSI), vol. 9, no. 2, pp. 1694-0814, September 2012.
  15. Luiz F. Bittencourt, Edmundo R. M. Madeira and Nelson L. S da Fonseaca, "Scheduling in Hybrid Clouds" IEEE, pp. 42-47, September,2012.
  16. Ramkumar. N, Nivethitha. S, "Efficient Resource Utilization Algorithm (ERUA) for Service Request Scheduling in Cloud" International Journal of Engineering and Technology (IJET), pp. 1321-1327, May 2013.
  17. Xiaocheng, Lui, Cheng, Wang, Juliang Chen and Albert Y. Zomaya, "Priority Based Consolidation of Parallel Workloads in the Cloud" IEEE, vol. 24, no. 9, pp. 1874-1882, September 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Load Balancing Cloudlets Virtual Machines Response Time.

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