The week's pick
Random Articles
Reseach Article
Fault Tolerance using Adaptive Checkpoint in Cloud–An Approach
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 175 - Number 6 |
| Year of Publication: 2017 |
| Authors: J. M. Nandhini, T. Gnanasekaran |
10.5120/ijca2017915155
|
J. M. Nandhini, T. Gnanasekaran . Fault Tolerance using Adaptive Checkpoint in Cloud–An Approach. International Journal of Computer Applications. 175, 6 ( Oct 2017), 9-14. DOI=10.5120/ijca2017915155
Abstract
Cloud computing provides platform for improving the flexibility in designing applications through exploiting the different layers of virtualization. Cloud computing is a new technology used for large scale enterprise applications. Cloud computing provides platform for improving the flexibility in designing applications through exploiting the different layers of virtualization The requirements of the business processes are met in the cloud computing. Cloud computing provides very high scalability, reconfigurable resources and higher availability of the resources. A robust Fault Tolerance strategy is a very critical component of cloud computing to meet the Service Level Objectives in cloud. High level of cloud serviceability is achievable through fault tolerance. The widely used strategies of fault tolerance are Checkpointing and Replication. In this paper an overview has been provided on various techniques of fault tolerance, dimensional view Checkpoint classification and a dynamically adaptive checkpointing model has beed proposed.
References
- Y. Li, Z. Lan, “Exploit failure prediction for adaptive fault-tolerance in cluster”. Proceedings of the sixth IEEE International symposium on cluster computing and the grid, Vol 1, May 2006, pp. 531-538.
- P. Das, P. Mohan Khilar, "VFT: A Virtualization and Fault Tolerance Approach for Cloud Computing," Proceedings of the IEEE Conference on Information and Communication Technologies (ICT 2013), Kanyakumari, Tamil Nadu, in press, 2013, pp. 473-478.
- Dawei Sun, Guiran Chang, Changsheng Miao, XingweiWang,” Analyzing, modeling and evaluating dynamic adaptive fault tolerance strategies in cloud computing environments”, in JSupercomputer March 2013
- R. Buyyaa et al,” Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility,” Future Generation Computer Systems, vol. 25, 2009, pp. 599-616.
- D. Singh, J. Singh and A. Chhabra, “High availability of Clouds: Failover Strategies for Cloud Computing using Integrated Checkpointing algorithms”, IEEE International Conference on Communication Systems and Network Technologies, 2012.
- P. Gupta and S. Banga, “Review of Cloud Computing in Fault Tolerant Environment with Efficient Energy Consumption,” International Journal of scientific research and management, Vol. 1, Issue 4, 2013, pp. 251-254.
- Bala, A., & Chana, I. (2012).,” Fault Tolerance-Challenges, Techniques and Implementation in Cloud Computing”, International Journal of Computer Science Issues (IJCSI), 9(1).
- S. Siva Sathya, S. Kuppuswami, K. Syam Babu, “Fault tolerance by checkpointing mechanisms in grid computing”, Proceedings of the International Conference on Global Software Development, Coimbatore, July 2007
- Raman Kumar, Dr. Parveen Kumar ,”Review of Some Checkpointing Schemes for Distributed and Mobile Computing”, Int. J. Advanced Networking and Applications Vol: 06 Issue: 06 (2015) ISSN: 0975- 0290.
- Bakhta Merofuel and Ghalem Belalem, “Adaptive time based coordinated checkpointing for cloud computing workflows”, Scalable Computing, Practice and Expert
- Kalanirnika G R,V.M.Sivagami, Fault Tolerance in Cloud Using Reactive and Proactive Techniques International Journal of Computer Science and Engineering Communications Vol.3, Issue 3, 2015, Page.1159- 1164 ISSN: 2347–8586
- Jing Liu, Jiantao Zhou and Rajkumar Buyya, Software Rejuvenation based Fault Tolerance Scheme for Cloud Applications .2015 IEEE 8th International Conference on Cloud Computing.
- Daeyong Jung, SungHo Chin, KwangSik Chung, HeonChang Yu, JoonMin Gil, An Efficient Checkpointing Scheme Using Price History of Spot Instances in Cloud Computing Environment.
- L. Arockiam and Geo Francis E ,FTM- A Middle Layer Architecture for Fault Tolerance in Cloud Computing.,Special Issue of International Journal of Computer Applications (0975 – 8887) on Issues and Challenges in Networking, Intelligence and Computing Technologies – ICNICT 2012, November 2012.
- Wang Fu Tian, Liu Xiao & Yang Yun, Necessary and sufficient checkpoint selection for temporal verification of high-confidence cloud workflow systems, SCIENCE CHINA Information Sciences, May 2015, Vol. 58 052103:1–052103:16
- R. Santosh, T. Ravichandran, Non-Premptive Real Time Scheduling using checkpointing Algorithm for cloud computing. International Journal of computer Applications (0975-8887) Volume 80-No.9, October 2013
- Sheng Di, Yves Robert, Frédéric Vivien, Derrick Kondo, Cho-Li Wang, Franck Cappello, Optimization of cloud task processing with checkpoint-restart mechanism, , published in "SC13 Supercomputing-2013(2013)"DOI 10.1145/2503210.2503217.
- Dilbag Singh, Jaswinder Singh, Amit Chhabra, Evaluating Overheads of Integrated Multilevel Checkpointing Algorithms in Cloud Computing Environment, I. J. Computer Network and Information Security, 2012, 5, 29- 38.
- Zhang, Y, Zheng, Z, & Lyu, M R 2011, ‘BFTCloud:A byzantine fault tolerance framework for voluntary- resource cloud computing’, In IEEE International Conference on Cloud Computing
Index Terms
Keywords