Study of Various Reactive Fault Tolerance Techniques in Cloud Computing
Atul Kumar1 , Deepti Malhotra2
Section:Review Paper, Product Type: Journal Paper
Volume-06 ,
Issue-05 , Page no. 54-58, Jun-2018
Online published on Jun 30, 2018
Copyright © Atul Kumar, Deepti Malhotra . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
View this paper at Google Scholar | DPI Digital Library
How to Cite this Paper
- IEEE Citation
- MLA Citation
- APA Citation
- BibTex Citation
- RIS Citation
IEEE Citation
IEEE Style Citation: Atul Kumar, Deepti Malhotra, “Study of Various Reactive Fault Tolerance Techniques in Cloud Computing,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.05, pp.54-58, 2018.
MLA Citation
MLA Style Citation: Atul Kumar, Deepti Malhotra "Study of Various Reactive Fault Tolerance Techniques in Cloud Computing." International Journal of Computer Sciences and Engineering 06.05 (2018): 54-58.
APA Citation
APA Style Citation: Atul Kumar, Deepti Malhotra, (2018). Study of Various Reactive Fault Tolerance Techniques in Cloud Computing. International Journal of Computer Sciences and Engineering, 06(05), 54-58.
BibTex Citation
BibTex Style Citation:
@article{Kumar_2018,
author = {Atul Kumar, Deepti Malhotra},
title = {Study of Various Reactive Fault Tolerance Techniques in Cloud Computing},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2018},
volume = {06},
Issue = {05},
month = {6},
year = {2018},
issn = {2347-2693},
pages = {54-58},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=420},
publisher = {IJCSE, Indore, INDIA},
}
RIS Citation
RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=420
TI - Study of Various Reactive Fault Tolerance Techniques in Cloud Computing
T2 - International Journal of Computer Sciences and Engineering
AU - Atul Kumar, Deepti Malhotra
PY - 2018
DA - 2018/06/30
PB - IJCSE, Indore, INDIA
SP - 54-58
IS - 05
VL - 06
SN - 2347-2693
ER -




Abstract
Cloud is large, complex and distributed in nature. It has many features like availability, Reliability and performance of the cloud. Due to its large size and complex nature it is prone to various types of fault and failure like data unavailable, data deletion or corruption etc. Cloud are made as fault tolerant system that tolerate any imminent fault or failure, but still sometime fault happens that disrupts the normal service of cloud. Many researchers gave different technique like replication, checkpointing , Retry ,resubmission etc. to tolerate the failure. In this paper, study of various reactive fault tolerance techniques has been done and after analysis conclusion is presented with some future scope.
Key-Words / Index Term
Replication, Checkpointing, Resubmission, Reliability
References
[1] S. Prathiba and S. Sowvarnica, “Survey of failures and fault tolerance in cloud,” in 2017 2nd International Conference on Computing and Communications Technologies (ICCCT), 2017, pp. 169–172.
[2] G. R. Kalanirnika and V. M. Sivagami, “Fault
Tolerance in Cloud Using Reactive and Proactive
Techniques,” Int. J. Comput. Sci. Eng. Commun., vol. 3, no. 3, pp. 1159–1164, 2015.
[3] S. Kadekodi, “A Compression in Checkpointing and Fault Tolerance Systems,” ACM Ref. Format Saurabh Kadekodi ACM Trans. Em-bedd. Comput. Syst. V, N, Artic. A, vol. 8, 2013.
[4] A. Rajalakshmi, D. Vijayakumar, and K. G.
Srinivasagan, “An improved dynamic data replica selection and placement in cloud,” 2014 Int. Conf.
Recent Trends Inf. Technol. ICRTIT 2014, vol. 3, no.
3, 2014.
[5] A. M. Saleh and J. H. Patel, “Transient-Fault Analysis for Retry Techniques,” IEEE Trans. Reliab., vol. 37, no. 3, pp. 323–330, 1988.
[6] Y. Kwon, M. Balazinska, and A. Greenberg, “Fault-tolerant Stream Processing using a Distributed,
Replicated File System.”
[7] T. Nadu, “Fault tolerant workflow scheduling based on replication and resubmission of tasks in Cloud
Computing,” Int. J. Comput. Sci. Eng., vol. 4, no. 6,
pp. 996–1006, 2012.
[8] L. M. M. Visuwasam, “Checkpoint-based Intelligent
Fault tolerance For Cloud Service Providers,” no. 2,
pp. 59–64, 2012.
[9] Q. Wei, B. Veeravalli, B. Gong, L. Zeng, and D. Feng, “CDRM: A Cost-Effective Dynamic Replication Management Scheme for Cloud Storage
Cluster,” in 2010 IEEE International Conference on Cluster Computing, 2010, pp. 188–196.
[10] G. Yao, Y. Ding, and K. Hao, “Using Imbalance
CharacteristicforFault-TolerantWorkflow
[11] Scheduling in Cloud Systems,” IEEE Trans. Parallel Distrib. Syst., vol. 28, no. 12, pp. 3671–3683, Dec. 2017.
[12] E. AbdElfattah, M. Elkawkagy, and A. El-Sisi, “A reactive fault tolerance approach for cloud computing,” in 2017 13th International Computer Engineering Conference (ICENCO), 2017, pp. 190– 194.
[13] M. K. Gokhroo, M. C. Govil, and E. S. Pilli,“Detecting and mitigating faults in cloud computing environment,” 3rd IEEE Int. Conf. , 2017.
[14] V. B. Souza, X. Masip-Bruin, E. Marin-Tordera, W.Ramirez, and S. Sanchez-Lopez, “Proactive vs reactive failure recovery assessment in combined Fog-to-Cloud (F2C) systems,” in 2017 IEEE 22nd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2017, pp. 1–5.
[15] P. Padmakumari, A. Umamakeswari, and M.Akshaya, “Hybrid Fault Tolerant Scheme to Manage VM Failure in the Cloud,” Indian J. Sci. Technol. ISSN, no. 948, pp. 974–6846, 2016.
[16] O. Subasi, G. Yalcin, F. Zyulkyarov, O. Unsal, and J.Labarta, “Designing and Modelling Selective Replication for Fault-Tolerant HPC Applications,” Proc. - 2017 17th IEEE/ACM Int. Symp. Clust. Cloud Grid Comput. CCGRID 2017, pp. 452–457, 2017.