Proceeding of

National Conference

on

Recent Trends in Mobile

and Cloud Computing

(NCRMC-2014)

17-18 December, 2014

 

as

A Special Issue of

International Journal of Computer Science and Applications

(ISSN:0974-1011)

Chief Patron

Shri Banwarilal Purohit 

Chairman,RCOEM

 

Shri Govindlal Agarwal

General Secretary, RCOEM

 

Patron

 

 Prof. Q.H.Jeevaji

Director, DMT, RCOEM

 

Dr. R.S. Pande

Principal,RCOEM

 

Conveners

Dr. M. B. Chandak

(Head, Dept. of CSE)

 

Co-convener

Dr. A. J. Agrawal

 

Organizing Committee

Prof. M. R. Wanjari

Prof. S. G. Mundhada

Prof. A.V. Buche

Prof. N. N. Tirpude

Prof. K. P. Khurana

Prof. D. A. Borikar

Prof. A. R. Raipurkar

Organized by

Description: RCOEM_Logo.png

Dept of Computer Science & Engineering,

Shri Ramdeobaba College of Engineering and Management, Nagpur 440013.

Website: www.rknec.edu

 

In association with

Description: logo.dept.science.gif

Department of Science & Technology

 

 

Editor

K. H. Walse

M.S.India

 

 

 

   
   
   
   
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
IJCSA ISSN: 0974-1011 (Online) >>    
Title:

Performance Analysis For Optimization of Storage Reallocation Strategies In Cloud Environment

Author:

Pallavi Shelke and Manish  B. Gudadhe

 

Abstract

Cloud computing promises cost effective and agile computing resources for users. It improves efficiency, save time and gives good return on investment in business.. Resource allocation guarantee that their customer get best performance or plan which services to offer to   get the best return on investment. This work study and analyze existing resource allocation strategies also proposes hybrid solution  for the development of high performance of resources allocation strategies which mainly focus on two Overbooking, & Just In Time (JIT), through implementation with help of Cloud Report Simulator. By combination of JIT and Overbooking simulation result shows that on average it increase resource allocation rate. It also possible for Cloud provider to execute  maximum number of cloudlet (task) on  minimum virtual machine. It also improved  utilization rate with limited constraints.


2015 International Journal of Computer Science and Applications 

Published by Research Publications, India