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Efficient Resource Provisioning using RTUOP Algorithm in Cloud Computing

M. Revatheeswari, P. Saranya


Cloud computing, the information is permanently stored in servers in the internet. From there, the Cloud consumers utilize resources using Virtual Servers and they are charged based on pay-per-use basis. For this, Cloud providers offer two type of provisioning plans, namely On-demand and Reservation plan. They are also called as Short-term and Long-term plan respectively. In general, the reservation plan has minimum cost than on-demand plan. Although the reservation offers the discounted usage price, this option could result in over provisioning and under provisioning problems due to demand uncertainty. Our challenge is to how efficiently use the resource provisioning options under the uncertainty of price and demand. In order to achieve this, we use the Reservation Technique for Under and Over Provisioning (RTUOP) algorithm in the cloud broker. This will minimize the total resource provisioning cost under uncertainties


Cloud Computing, Resource Provisioning, RTUOP, Uncertainty, Virtualization

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Sivadon Chaisiri, Bu-Sung Lee and Dusit Niyato, “Optimization of Resource Provisioning Cost in Cloud Computing”, IEEE Transactions on Services Computing Vol.5., No 2, April-June 2012. pp 164-177.

P.Church, A.Wong, M.Brock and Geelong, “Deploying, Publishing and Accessing High Performance Computing Applications in a SaaS Cloud”, Geelong, VIC 3220., March 2012. pp 183-190.

Sheng Di and Cho-Li Wang, “Dynamically Optimizing Multi-attribute based Execution Efficiency on Self-Organizing Cloud”, IEEE transactions on parallel and distributed systems, 2012. pp 130-136.

D.Carrera, M.Steinder, L.Whalley, J.Torres and E.Ayguade, “Automatic Placement of Mixed Batch and Transactional Workloads”, IEEE Transactions on parallel and distributed Systems, Vol.23,No.2, February 2012. pp 219-231.

V.Kantere, D.Dash and G.Francois, “Optimal Service Pricing for a Cloud Cache”, IEEE transactions on Knowledge and data engineering, Vol.23, No.9, September 2011. pp 1345-1358.

P.Takako Endo, Palhares, Pereir and Sadok, “Resource Allocation for Distributed Cloud: Concepts and Research Challenges”, IEEE network, July/August 2011. pp 71-82.

S.Genaud and J.Gossa, “Cost-wait Trade-offs in Client-side Resource Provisioning with Elastic Clouds”, 4th IEEE international conference on cloud computing, 2011. pp 236-245.

S.Chaisiri, R.Kaewpuang, Bu-Sung Lee and D.Niyato, “Cost Minimization for Provisioning Virtual Servers in Amazon Elastic Compute Cloud”, 11th annual IEEE international Symposium, 2011. pp 85-95.

N.Marria and K.Pateriya, “On-Demand Resource Provisioning In Sky Environment”, international journal of Computer Science and its applications, 2011. pp 275-280.

Y.Zhang, G.Huang, X.Liu and H.Mei, “Integrating Resource Consumption and Allocation for Infrastructure Resources on-demand”, IEEE third national conference on Cloud Computing, 2010. pp 75-82.

X.Meng, C.Isci, J.Kephart and Li Zhang, “Efficient Resource Provisioning in Compute Clouds via VM Multiplexing”, in proceedings of international conference for Computer Management Group, 2010. pp 115-123

H.Nguyen van and F.Dang Tran, “SLA-aware virtual resource management for cloud infrastructures”, 9th International conference on computer and information technology, 2009. pp 163-170.

Yang Jie, Qiu Jie and Li Ying, “A Profile based Approach to Just in time Scalability for Cloud Applications”, 2009 IEEE International conference on Cloud Computing. pp 9-16.


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