Open Access Open Access  Restricted Access Subscription Access

A Survey On Efficient Resource Provisioning in Cloud Computing For Optimizing Cloud- Performance

Sarumathi S, Jamuna P, Joydev Gorai, Navneet Patel, Neeraj Kumar Yadav

Abstract


The collection of data centres is referred to as the cloud. A pay-as-you-go model of service delivery over the internet is known as cloud computing. Data centres are used to supply the service. Both private and public clouds can be efficiently used depending on the needs of the user. Resource provisioning is influenced by the particular task at hand as well as factors like scalability, turnaround time, fault tolerance, load balancing, and service quality. There are resource provisioning techniques available for better resource usage and high-quality service delivery.


Full Text:

PDF

References


Xiong, K., & Perros, H. (2009, July). Service performance and analysis in cloud computing. In 2009 Congress on Services-I (pp. 693-700). IEEE.

Yang, B., Tan, F., Dai, Y. S., & Guo,

S. (2009, December). Performance evaluation of cloud service considering fault recovery. In IEEE International Conference on Cloud Computing (pp. 571-576). Springer, Berlin, Heidelberg. (CloudCom 09), 2009.

Lakra, A. V., & Yadav, D. K. (2015). Multi-objective tasks scheduling algorithm for cloud computing throughput optimization. Procedia Computer Science, 48, 107-113.

Madni, S. H. H., Abd Latiff, M. S., Abdullahi, M., Abdulhamid, S. I. M., & Usman, M. J. (2017). Performance comparison of heuristic algorithms for task scheduling in IaaS cloud computing environment. PloS one, 12(5), e0176321.

Padala, P., Shin, K. G., Zhu, X., Uysal, M., Wang, Z., Singhal, S., ... & Salem, K. (2007, March). Adaptive control of virtualized resources in utility computing environments. In Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007 (pp. 289-302).

Wang, Z., Zhu, X., Padala, P., & Singhal, S. (2007, May). Capacity and performance overhead in dynamic resource allocation to virtual containers. In 2007 10th IFIP/IEEE International Symposium on Integrated Network Management (pp. 149-158). IEEE.

WMware, VMware Distributed Resource Scheduler (DRS), 2010. Available at

http://www.vmware.com/products/drs

/.

Khanna, G., Beaty, K., Kar, G., & Kochut, A. (2006, April). Application performance management in virtualized server environments. In 2006 IEEE/IFIP Network Operations and Management Symposium NOMS 2006 (pp. 373- 381). IEEE.

Jaiganesh, M., & Antony Kumar, A.

V. (2013). B3: fuzzy-based data center load optimization in cloud computing. Mathematical problems in Engineering, 2013.

Jaiganesh, M., Ramadoss, B., Kumar, A. V. A., & Mercy, S. (2015). Performance evaluation of cloud services with profit optimization. Procedia Computer Science, 54, 24-30.


Refbacks

  • There are currently no refbacks.