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

Environment Conscious Public Cloud Scheduling Algorithm with Load Balancing

by Ashish Kumar Singh, Sandeep Sahu
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 87 - Number 13
Year of Publication: 2014
Authors: Ashish Kumar Singh, Sandeep Sahu
10.5120/15269-3863

Ashish Kumar Singh, Sandeep Sahu . Environment Conscious Public Cloud Scheduling Algorithm with Load Balancing. International Journal of Computer Applications. 87, 13 ( February 2014), 24-27. DOI=10.5120/15269-3863

@article{ 10.5120/15269-3863,
author = { Ashish Kumar Singh, Sandeep Sahu },
title = { Environment Conscious Public Cloud Scheduling Algorithm with Load Balancing },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 87 },
number = { 13 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 24-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume87/number13/15269-3863/ },
doi = { 10.5120/15269-3863 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:05:50.032527+05:30
%A Ashish Kumar Singh
%A Sandeep Sahu
%T Environment Conscious Public Cloud Scheduling Algorithm with Load Balancing
%J International Journal of Computer Applications
%@ 0975-8887
%V 87
%N 13
%P 24-27
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud Computing is very fruitful area for today's business. It provide lot of advantages like reduction of hardware and software cost for organization. Organization not has to invest a lot of money for their infrastructure and they gain full benefit of their investment. Number of cloud provider also increasing some of which have their own data center and some also have virtual data centre to provide services over the internet. Cloud is a model where customer expects more services or services without interruption for their money and cloud provider expect more ROI (Return on investment). These thing depend enough on effective scheduling Cloud provider have many VM at their data centre so they must have a proper load balancing to utilize their all VM. At present time environment is becoming serious issue and in near future problem is increasing more and more. So scheduling algorithm must consider the issue of minimization of carbon emission. In our work we propose an algorithm which will address environment and load balancing issue for public cloud.

References
  1. Saurabh K Garg,Chee Shin Yeo, Arun Anandasivam, Rajkumar Buyya " Environment – Conscious Scheduling of HPC application on distributed Cloud – oriented centers " ScienceDirect My 2010
  2. Rashmi K S and Suma V and Vaidehi M " Factors Influencing Job Rejection in Cloud Environment " IJC May 2012
  3. Rashmi K S and Suma V and Vaidehi M " Enhanced Load Balancing Approach to avoid Deadlocks in Cloud "IJCA-ACCTHPCA, June 2012
  4. Gabriel Mateescu , Wolfgan Gentzsch , Calvin J Ribbens " Hybrid Computing – Where HPC meets grid and Cloud Computing " ScienceDirect Nov 2010
  5. Weiwei Lin , james Z. Wang, Chen Liang, Deyu Qi " A Thrseshold – Based Dynamic Resource Allocation Scheme for Cloud Computing " ScienceDirect 2011
  6. Raul Alonso-Calvo , Jose Crespo , Miguel Garcia- Remesal, Alberto Aungita and Victor Maojo " On Distributing load in cloud computing : A real application for very –large image datasets " ScienceDirect 2010
  7. Ashraf Zia & Muhammad Naeem Ahmad Khan " Idetifying Key Challenges in Performance Issues in Cloud Computing " IJMECS 2012
  8. Alexey Tumanov , James Cipar and Michael A Kozuch " Algebraic Scheduling of Mixed Workloads in Hetrogeneous Clouds " ACM 2012
  9. Monir Abdullah , Mohamed Othman " Cost – Based Multi – QoS Job Scheduling using Divisible Load Theory in Cloud Computing " ScienceDirect 2013
  10. R. Santosh and T. Ravichandran " Non-Preemptive on-Line Scheduling of Real-Time Services with Task Migration for Cloud Computing " EJSR 2012
  11. Soumya Ray and Ajanta De Sarkar " Execution Analysis of Load Balancing Algorithm in Cloud Computing Environment "in International Journal on Cloud Computing : Service and Architecture (IJCCSA) , Vol 2 Oct 2012
  12. K. L. Giridas , A Shajin nargunam "CHPS in Cloud Computing Environment " in International Journal of Engineering and Technology (IJET) Oct – Nov 2012
  13. Zhang. Y and Zhou Y " TransOS : A Transparent computing-based operating system for the cloud"
  14. Donald Mclaughin and Partha Dasgupta " Preemptive Scheduling for Distributed System "
  15. Harsora and Dr. Apurva Shah " A Modified Genetic Algorithm for Process Scheduling in Distributed System " IJCA , 2011
  16. Indraveer Chana and Anju Bala " A Survey of Varoous Workflow Scheduling Algorithm in Cloud Environment " NCICT 2011
  17. Anthony T. Velte, Toby J. Velte, Robert Elsenpeter, Cloud Computing A Practical Ap- proach, TATA McGRAW-HILLEdition2010.
  18. Ashish Kumar Singh etal "Scheduling Algorithm with Load Balancing in CloudComputing" IJSER 2014
Index Terms

Computer Science
Information Sciences

Keywords

Carbon emission Cloud Manager Profit Maximization Public cloud Virtual Data Centre