Abstract
Cloud computing is one of today’s most exciting technologies because of its capacity to reduce cost associated with computing while increasing flexibility and scalability for computer processes. IT organizations have expressed concerns about critical issues such as Security that accompany the widespread implementation of cloud computing. Security, in particular, is one of the most debated issues in the field of cloud computing and several enterprises look at cloud computing warily due to projected security risks. Also, there are two other critical features to be taken care, they are Availability and Reliability which are the most important factors for cloud computing resource for maintaining higher user satisfaction and business continuity. This paper focuses on a survey of a novel approach for Disaster management through Efficient Scheduling mechanism and Efficient Load balancing technique to control Disaster thereby enhancing the performance of cloud computing.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Chintureena, S.V.: Ensured Availability of resources in a highly reliable mode through Enhanced approaches for Effective Disaster Management in Cloud. In: IEEE International Conference on Electronics and Communication System (ICECS), Coimbatore, India (2014)
Chintureena, S.V.: Effective Scheduling Approach to Enhance Availability of Resources to Manage Disaster in Cloud. In: 10th International Conference on Systemics, Cybernetics and Informatics (ICSCI), Hyderabad, India (2014)
Chintureena, S.V.: Effective Multi Scheduling Policy Task Scheduling in Cloud. In: IEEE International Conference on Advances in Engineering and Technology (ICAET), Nagapattinam, India (2014)
Chintureena, S.V.: Improving reliability in cloud computing system. In: 4th International Conference on Advanced Computing and Communication Technologies for High Performance Application (ICACCTHPA), Kerala, India (2014)
Paul, M., Samanta, D., Sanyal, G.: Dynamic job Scheduling in Cloud Computing based on horizontal load balancing. 13th International Journal of Computer Technology and Applications (2011)
Yao, G., Buttazzo, G., Bertogna, M.: Bounding the Maximum Length of Non-Preemptive Regions Under Fixed Priority Scheduling. In: 15th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2009 (2009)
Mahitha, O., Suma, V.: Pre-emptive Priority Scheduling with Aging Technique for Effective Disaster Management in Cloud. Graduate Research in Engineering and Technology (GRET) - An International Journal 1(2) (2013) ISSN 2320 – 6632
Vignesh, V., Sendhil Kumar, K.S., Jaisankar, N.: Resource management and scheduling in cloud environment. International Journal of Scientific and Research Publications 3(6) (2013) ISSN 2250-3153
Xu, M., Cui, L., Wang, H., Bi, Y.: A multiple QoS constrained scheduling strategy of multiple workflows for cloud computing. In: 2009 IEEE International Symposium on Parallel and Distributed Processing with Workloads, pp. 629–634. IEEE (2009)
Lodha, P.R., Avinash, P.: Wadhe: Study of Different Types of Workflow Scheduling Algorithm in Cloud Computing. International Journal of Advanced Research in Computer Science and Electronics Engineering (IJARCSEE) 2(4), 421 (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Chintureena, Suma, V. (2015). Effective Disaster Management to Enhance the Cloud Performance. In: Satapathy, S., Biswal, B., Udgata, S., Mandal, J. (eds) Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Advances in Intelligent Systems and Computing, vol 328. Springer, Cham. https://doi.org/10.1007/978-3-319-12012-6_18
Download citation
DOI: https://doi.org/10.1007/978-3-319-12012-6_18
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12011-9
Online ISBN: 978-3-319-12012-6
eBook Packages: EngineeringEngineering (R0)