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 November 2024
Reseach Article

Fault Tolerance Techniques and Comparative Implementation in Cloud Computing

by Prasenjit Kumar Patra, Harshpreet Singh, Gurpreet Singh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 64 - Number 14
Year of Publication: 2013
Authors: Prasenjit Kumar Patra, Harshpreet Singh, Gurpreet Singh
10.5120/10705-5643

Prasenjit Kumar Patra, Harshpreet Singh, Gurpreet Singh . Fault Tolerance Techniques and Comparative Implementation in Cloud Computing. International Journal of Computer Applications. 64, 14 ( February 2013), 37-41. DOI=10.5120/10705-5643

@article{ 10.5120/10705-5643,
author = { Prasenjit Kumar Patra, Harshpreet Singh, Gurpreet Singh },
title = { Fault Tolerance Techniques and Comparative Implementation in Cloud Computing },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 64 },
number = { 14 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 37-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume64/number14/10705-5643/ },
doi = { 10.5120/10705-5643 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:16:28.602671+05:30
%A Prasenjit Kumar Patra
%A Harshpreet Singh
%A Gurpreet Singh
%T Fault Tolerance Techniques and Comparative Implementation in Cloud Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 64
%N 14
%P 37-41
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud computing is the result of evolution of on demand service in computing paradigms of large scale distributed computing. It is the adoptable technology as it provides integration of software and resources which are dynamically scalable. These systems are more or less prone to failure. Fault tolerance assesses the ability of a system to respond gracefully to an unexpected hardware or software failure. In order to achieve robustness and dependability in cloud computing, failure should be assessed and handled effectively. This paper aims to provide a better understanding of fault tolerance techniques used for fault tolerance in cloud environments along with some existing model and further compare them on various parameters.

References
  1. Sun Microsystems, Inc. "Introduction to Cloud Computing Architecture" White Paper 1st Edition, June 2009
  2. Mladen A. Vouk, "Cloud Computing – Issues, Research and Implementations", Department of Computer Science, North Carolina State University, Raleigh, North Carolina, USA,Journal of Computing and Information Technology - CIT 16, 2008, 4, 235–246doi:10. 2498 /cit. 1001391
  3. AnjuBala, InderveerChana," Fault Tolerance- Challenges, Techniques and Implementation in Cloud Computing" IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 1, No 1, January 2012 ISSN (Online): 1694-0814 www. IJCSI. org
  4. Benjamin Lussier, Alexandre Lampe, Raja Chatila, JérémieGuiochet, Félix Ingrand, Marc-Olivier Killijian, David Powell, "Fault Tolerance in Autonomous Systems: How and How Much?" LAAS-CNRS 7 Avenue du Colonel Roche, F-31077 Toulouse Cedex 04, France {firstname. lastname}@laas. fr
  5. P. LatchoumyandP. Sheik AbdulKhader,"Survey on fault tolerance in grid computing" IJCSI International Journal of Computer Science Issues, Vol 2, No 4, November 2011.
  6. Jean-clandeLaprie "Dependable computing and fault tolerance: concepts and terminology" LAAS-CNRS 7 Avenue du Colonel Roche, 31400 Toulouse, France
  7. GolamMoktaderNayeem , Mohammad Jahangir Alam," Analysis of Different Software Fault Tolerance Techniques", 2006.
  8. GeoffroyVallee, KulathepCharoenpornwattana, Christian Engelmann, AnandTikotekar, Stephen L. Scott," A Framework for Proactive Fault Tolerance".
  9. Sheheryar MalikandFabriceHuet "Adaptive Fault Tolerance in Real Time Cloud Computing" 2011 IEEE World Congress on Service
  10. Wenbing Zhao, P. M. Melliar and L. E. Mose" Fault Tolerance Middleware for Cloud Computing" 2010 IEEE 3rd International Conference on Cloud Computing.
  11. Jayadivya S K, JayaNirmala S, Mary SairaBhanus"Fault Tolerance Workflow Scheduling Based on Replication and Resubmission of Tasks in Cloud Computing" International Journal on Computer Science and Engineering (IJCSE)
  12. Ravi Jhawar, Vincenzo Piuri and Marco Santambrogio"A Comprehensive Conceptual System level Approach to Fault Tolerance in Cloud Computing" IEEE
  13. Fumio Machida, Ermeson Andrade, Dong SeongKim and Kishor S. Trivedi"Candy: Component-based Availability Modeling Framework for Cloud Service Management Using Sys-ML" 2011 30th IEEE International Symposium on Reliable Distributed Systems.
  14. Jianlin, Xiaoyi Lu, Lin Yu, YongqiangZou and Li Zha"Vega Warden: A Uniform User Management System for Cloud Applications "2010 Fifth IEEE International Conference on Networking, Architecture, and Storage.
  15. ZibinZheng, Tom Chao Zhou, Michel R. Lyu, and Irwin king "FT-Cloud: A Component Ranking Framework for Fault-Tolerant Cloud Applications "2010 IEEE 21st International Symposium on Software Reliability Engineering.
  16. QingqingFeng, Jizhong Han, Yun Gao, Dan Meng"Magi-cube: High Reliability and Low Redundancy Storage Architecture for Cloud Computing" 2012 IEEE Seventh International Conference on Networking, Architecture, and Storage.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Fault Tolerance Reactive Proactive Dependability Reliability