Defending Industry Data Against Harm Brought by Natural Catastrophes
Article Main Content
The issue of defending industry information against harm brought on by natural catastrophes is exceedingly challenging. The practice of preserving information technology known as "cloud computing" makes it simple to store vast volumes of data. However, securing data against business issues brought on by natural catastrophes is a challenging undertaking. To advance cloud computing technology, a novel strategy must be employed. A new technology dubbed cloud volume on tap, a suggested business, allows for the fast storage of information. The effectiveness and productivity of cloud computing can also be increased. It is quite simple to exchange information. This may be changed to shield you against business issues brought on by natural disasters. The N-tier system underlies cloud computing. An N-tier design has several clients and servers.
References
-
Alzain MA, Soh B, Pardede E. MCDB: Using Multi-clouds to Ensure Security in Cloud Computing. 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing, Sydney, NSW, Australia; 2011.
Google Scholar
1
-
Tebaa M, Hajji SEL. From Single to Multi-clouds Computing Privacy and Fault Tolerance. IERI Procedia, 2014; 10: 112-118.
Google Scholar
2
-
Sabbaghi F, Mahboubi A, Othman SH. Hybrid Service for Business Contingency Plan and Recovery Service as a Disaster Recovery Framework for Cloud Computing. Journal of Soft Computing and Decision Support Systems, 2017; 4(4): 1-10.
Google Scholar
3
-
Chen D, Zhao H. Data Security and Privacy Protection Issues in Cloud Computing. 2012 International Conference on Computer Science and Electronics Engineering, Hangzhou, China; 2012.
Google Scholar
4
-
Marston S, Li Z, Bandyopadhyay S, Zhang J, Ghalsasi A. Cloud computing ? The business perspective. Decision Support Systems, 2011; 51(1): 176-189.
Google Scholar
5
-
Saquib Z, Tyagi V, Bokare S, Dongawe S, Dwivedi M, Dwivedi J. A new approach to disaster recovery as a service over cloud for database system. 15th International Conference on Advanced Computing Technologies (ICACT), Rajampet, India; 2013.
Google Scholar
6
-
Suguna S, Suhasini A. Overview of data backup and disaster recovery in cloud. International Conference on Information Communication and Embedded Systems (ICICES 2014), Chennai, India; 2014.
Google Scholar
7
-
Lenk A. Cloud Standby Deployment: A Model-Driven Deployment Method for Disaster Recovery in the Cloud. IEEE 8th International Conference on Cloud Computing, New York, USA; 2015.
Google Scholar
8
-
Jena T, Mohanty J. Disaster recovery services in intercloud using genetic algorithm load balancer. International Journal of Electrical and Computer Engineering (IJECE), 2016; 6(4): 1828-1838.
Google Scholar
9
-
Prazeres A, Lopes E. Disaster Recovery ? A Project Planning Case Study in Portugal. Procedia Technology, 2013; 9: 795-805.
Google Scholar
10
-
Matos R, Andrade EC, Maciel P. Evaluation of a disaster recovery solution through fault injection experiments. IEEE International Conference on Systems, Man, and Cybernetics (SMC), San Diego, CA, USA; 2014.
Google Scholar
11
-
Andrade E, Nogueira B. Performability Evaluation of a Cloud-Based Disaster Recovery Solution for IT Environments. Journal of Grid Computing, 2018; 16(2): 1-19.
Google Scholar
12
-
Yang P, Kong B, Li J, Lu M. Remote disaster recovery system architecture based on database replication technology. 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering, Chengdu, China; 2010.
Google Scholar
13
-
Togawa S, Kanenishi K. Private Cloud Cooperation Framework of E-Learning Environment for Disaster Recovery. IEEE International Conference on Systems, Man, and Cybernetics, Manchester, UK; 2013.
Google Scholar
14
-
Chang V. Towards a Big Data system disaster recovery in a Private Cloud. Ad Hoc Networks, 2015; 35: 65-82.
Google Scholar
15
-
Alshammari MM, Alwan AA, Nordin A, Al-Shaikhli IF. Disaster recovery in single-cloud and multi-cloud environments: Issues and challenges. 4th IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS), Bahrain; 2017.
Google Scholar
16
-
Alhazmi OH. A Cloud-Based Adaptive Disaster Recovery Optimization Model. Computer and Information Science, 2016; 9(2): 58.
Google Scholar
17
-
Alshammari MM, Alwan AA, Nordin A, Abualkishik AZ. Disaster Recovery with Minimum Replica Plan for Reliability Checking in Multi-Cloud. Procedia Computer Science, 2018; 130(C): 247-254.
Google Scholar
18
-
Lenk A, Tai S. Cloud Standby: Disaster Recovery of Distributed Systems in the Cloud. New York, USA; 2014.
Google Scholar
19
-
Osama E-T, Munir M, Lela P. Assessing IT disaster recovery plans: The case of publicly listed firms on Abu Dhabi/UAE security exchange. Information and Computer Security, 2016; 24(5): 514-533.
Google Scholar
20
-
Alshammari MM, Alwan AA. Disaster Recovery and Business Continuity of Database Services in Multi-Cloud. International Conference on Computer Applications & Information Security, ICCAIS, Riyadh, Saudi Arabia; 2018.
Google Scholar
21
-
Khoshkholghi MA, Abdullah A, Latip R, Subramaniam S, Othman M. Disaster recovery in cloud computing: A survey. Computer and Information Science, 2014; 7(4): 39-54.
Google Scholar
22
-
Ameigeiras P, Ramos-Mu?oz JJ, Schumacher L, Prados-Garzon J, Navarro-Ortiz J, L?pez-Soler JM. Link-level access cloud architecture design based on SDN for 5G networks. IEEE network, 2015; 29(2): 24-31.
Google Scholar
23
-
Chintureena SV. Ensured Availability of resources in a highly reliable mode through Enhanced approaches for Effective Disaster Management in Cloud. International Conference on Electronics and Communication System (ICECS), Coimbatore, India; 2014.
Google Scholar
24
-
Aobing S, Tongkai J, Qiang Y, Song Y. Virtual machine scheduling, motion and disaster recovery model for IaaS cloud computing platform. IEEE Conference Anthology, China; 2013.
Google Scholar
25
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