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Reseach Article

Geometric Mean based Algorithm for Prioritizing Processors on Cloud Environment

by Khushboo R Parmar, Upendra Bhoi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 23
Year of Publication: 2015
Authors: Khushboo R Parmar, Upendra Bhoi
10.5120/21400-4409

Khushboo R Parmar, Upendra Bhoi . Geometric Mean based Algorithm for Prioritizing Processors on Cloud Environment. International Journal of Computer Applications. 120, 23 ( June 2015), 14-18. DOI=10.5120/21400-4409

@article{ 10.5120/21400-4409,
author = { Khushboo R Parmar, Upendra Bhoi },
title = { Geometric Mean based Algorithm for Prioritizing Processors on Cloud Environment },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 23 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 14-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number23/21400-4409/ },
doi = { 10.5120/21400-4409 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:06:58.649514+05:30
%A Khushboo R Parmar
%A Upendra Bhoi
%T Geometric Mean based Algorithm for Prioritizing Processors on Cloud Environment
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 23
%P 14-18
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud computing relates to the bunch of services that are provided to the customers on lease, by the servers located at different sites over the internet. The servers have pool of resources that can be scaled up and down on the basis of requirement. This results into communication and computation over the network. Divisible load theory has become popular during the past two decades. Based on divisible load theory the computations and communications can be divided into some arbitrarily independent parts and each part can be processed independently by a processor. The fraction of load must be allocated the processors based on some priorities. Analytical Hierarchy Process(AHP) is a multi-criteria based technique used for assigning priorities to the processors. Existing approach can handle the priority of processors using Eigen Value method of Analytical Hierarchy Process. The proposed model works on Geometric mean method of Analytical Hierarchy Process in order to improve parameters such as makespan, average response time and average waiting time.

References
  1. Shamsollah Ghanbari, Mohamed Othman ,Wah June Leong, and Mohd Rizam Abu Bakar "Multi-Criteria Based Algorithm for Scheduling Divisible Load" Springer Science+Business Media Singapore 2014
  2. Saaty, Thomas L. "How to make a decision: the analytic hierarchy process. " European journal of operational research 48(1), 9-26 (1990).
  3. Mohsin Nazir. "Cloud Computing: Overview & Current Research Challenges". IOSR Journal of Computer Engineering (IOSR-JCE) ISSN: 2278-0661, ISBN: 2278-8727Volume 8, Issue 1 (Nov. - Dec. 2012), PP 14-22
  4. Cheng, Yuan-Chieh, and Thomas G. Robertazzi. "Distributed computation with communication delay [distributed intelligent sensor networks]. " Aerospace and Electronic Systems, IEEE Transactions on 24(6), 700-712 (1988).
  5. Ko, Kwangil, and Thomas G. Robertazzi. "Equal allocation scheduling for data intensive applications. " Aerospace and Electronic Systems, IEEE Transactions on 40(2), 695-705 (2004).
  6. Abdullah, Monir, Mohamed Othman, Hamidah Ibrahim, and Shamala Subramaniam. "Optimal workload allocation model for scheduling divisible data grid applications. " Future Generation Computer Systems 26(7), 971-978 (2010).
  7. Li, Ping, Bharadwaj Veeravalli, and Ashraf A. Kassim. "Design and implementation of parallel video encoding strategies using divisible load analysis. " Circuits and Systems for Video Technology, IEEE Transactions on 15(9), 1098-1112 (2005).
  8. The Analytic Hierarchy Process and its Generalizations Thesis by Edit Adamcsek
  9. Monir Abdullah, Mohamed Othman. "Cost-Based Multi-QoS Job Scheduling using Divisible Load Theory inCloud Computing. "International Conference on Computational Science doi:10. 1016/j. procs. 2013. 05. 258
  10. Abdullah, Monir, Mohamed Othman, Hamidah Ibrahim, and Shamala Subramaniam. "Optimal workload allocation model for scheduling divisible data grid applications. " Future Generation Computer Systems 26(7), 971-978 (2010).
  11. Natalia V. Shakhlevich "Scheduling Divisible Loads to Optimize the Computation Time and Cost" School of Computing, University of Leeds, Leeds LS2 9JT, U. K.
  12. Natalia V. Shakhlevich "Scheduling Divisible Loads to Optimize the Computation Time and Cost" School of Computing, University of Leeds, Leeds LS2 9JT, U. K.
  13. THE ANALYTIC HIERARCHY PROCESS (AHP) Geoff Coyle: Practical Strategy. © Pearson Education Limited 2004
  14. Analytic Hierarchy Process Dr. Rainer Haas Dr. Oliver Meixner Institute of Marketing & Innovation University of Natural Resources and Applied Life Sciences, Vienna
  15. Rodrigo N. Calheiros, Rajiv Ranjan, César A. F. De Rose, and Rajkumar Buyya. "CloudSim: A Novel Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services . " Grid Computing and Distributed Systems
  16. Alessio Ishizaka, Markus Lusti. "How to derive priorities in AHP: a comparative study".
Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Divisible load theory Analytical Hierarchy process Geometric Mean.