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Data Backup and Recovery Methods in Cloud Computing

Danish Nazir1 , Mir Aman Sheheryar2

  1. Department of Information Technology, School of Engineering, Central University of Kashmir, Srinagar, India.
  2. Department of Information Technology, School of Engineering, Central University of Kashmir, Srinagar, India.

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-5 , Page no. 540-544, May-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i5.540544

Online published on May 31, 2018

Copyright © Danish Nazir , Mir Aman Sheheryar . 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.

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IEEE Style Citation: Danish Nazir , Mir Aman Sheheryar, “Data Backup and Recovery Methods in Cloud Computing,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.5, pp.540-544, 2018.

MLA Style Citation: Danish Nazir , Mir Aman Sheheryar "Data Backup and Recovery Methods in Cloud Computing." International Journal of Computer Sciences and Engineering 6.5 (2018): 540-544.

APA Style Citation: Danish Nazir , Mir Aman Sheheryar, (2018). Data Backup and Recovery Methods in Cloud Computing. International Journal of Computer Sciences and Engineering, 6(5), 540-544.

BibTex Style Citation:
@article{Nazir_2018,
author = {Danish Nazir , Mir Aman Sheheryar},
title = {Data Backup and Recovery Methods in Cloud Computing},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2018},
volume = {6},
Issue = {5},
month = {5},
year = {2018},
issn = {2347-2693},
pages = {540-544},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2018},
doi = {https://doi.org/10.26438/ijcse/v6i5.540544}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i5.540544}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2018
TI - Data Backup and Recovery Methods in Cloud Computing
T2 - International Journal of Computer Sciences and Engineering
AU - Danish Nazir , Mir Aman Sheheryar
PY - 2018
DA - 2018/05/31
PB - IJCSE, Indore, INDIA
SP - 540-544
IS - 5
VL - 6
SN - 2347-2693
ER -

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Abstract

Providing different scenarios of service is the prime bedrock of Cloud computing. Cloud computing offer various services to its associated users. The service offered by cloud depends up on the nature of service subscribed by users associated with it. Storage as-a-service is one of the offered services provided by cloud via internet to its clients. Huge data resides in cloud storage management. To ensure security, cloud shall guarantee that our information is protected in all odds and be accessible whenever need arises. In circumstances like Fire, Flood, Tremors, Technical Snags, Equipment Failure and Coincidental deletion, our data access may be lost. To keep up the effectiveness of the outsourced data there need to be timely implementation of Data Backup involving Recovery Services. This paper provides the comprehensive investigation of different backup methods utilized for Cloud Computing with respect to technical snags and provide the gateways to access shortcomings in cloud backup aspect.

Key-Words / Index Term

Technical Snags, Central Repository, Remote Repository, Parity Cloud Service, Seed Block

References

[1] Shubhashis Sengupta and K.M. Annervaz “Multi-site data distribution for disaster recovery—A planning framework,” ELSEVIER, 2014.
[2] Yashodha Sambrani and Dr. Rajashekarappa “Efficient Data Backup Mechanism for Cloud Computing,” International Journal of Advanced Research in Computer and Communication Engineering, Vol. 5, Issue 7, 2016.
[3] Rodrigo S. Coutoa, Stefano Secci, Miguel Elias M. Campista and Luís Henrique M.K. Costa “Server placement with shared backups for disaster-resilient clouds,” ELSEVIER, 2015.
[4] Mayuri Tidke, Vijayshree Jadhav, Sonali Parab, Shubhrata Patil and Y. K. Patil “Seed Block Algorithm: A New Approach for Data Back-up and Recovery in Cloud Computing,” International Journal of Engineering Science and Computing, Vol. 6, no. 4, 2016.doi: 10.4010/2016.941.
[5] Shilpi U. Vishwakarma and Praveen D. Soni “Cloud Mirroring: A Technique of Data Recovery,” International Journal of Current Engineering and Technology, Vol 5, no. 2, 2015.
[6] Praveen S. Challagidad, Ambika S. Dalawai and Mahantesh N. Birje “Efficient and Reliable Data Recovery Technique in Cloud Computing,” Internet of Things and Cloud Computing, Vol. 5, No. 5-1, 2017, pp. 13-18. doi: 10.11648/j.iotcc.s.2017050501.13
[7] Megha Rani Raigonda1 and Tahseen Fatima2 “A Cloud Based Automatic Recovery and Backup System with Video Compression,” International Journal of Engineering and Computer Science, Vol 5, no. 9, 2016.
[8] Chi-won Song, Sungmin Park, Dong-wook Kim, Sooyong Kang, 2011, “Parity Cloud Service: A Privacy-Protected Personal Data Recovery Service,” International Joint
[9] Tanay Kulkarni, Sumit Memane, Onkar Nene and Krupali Dhaygude “INTELLIGENT CLOUD SECURITY BACK-UP SYSTEM,” International Journal of Technical Research and Applications, Vol. 3, no. 2, 2015, PP. 241-245
[10] Yoichiro Ueno, Noriharu Miyaho, Shuichi Suzuki and Kazuo Ichihara “Performance Evaluation of a Disaster Recovery System and Practical Network Applications in Cloud Computing Envionments,” International Journal on Advances in Networks and Services, vol 4 no 1 & 2, 2