Cloud computing is an emerging technology which helps us to use the resources on the fly and pay as per the usage. In case of resource provisioning there are two ways viz. On-demand subscription and Reservation scheme. Although an upfront fee is required for reservation scheme, the reservation scheme is much cheaper than On-demand subscription. But the reservation scheme also suffers from two main issues. If the allocated resources are more than the actual requirement, it leads to over provisioning which causes waste of upfront fee whereas on the other hand if the allocated resources are less than the actual requirement, it leads to under provisioning of resources. If some effective predictions are done with uncertainties from users and providers and Virtual Machines are allocated based on those predictions then these two problems can be solved to a greater extent. Main objective is to implement a repository called Virtual Machine Repository (VMR) for cloud storage such that the problems of over and under provisioning can be solved to a greater extent. It also saves the cost and time of customers.

1. Bu-Sung Lee, Dusit Niyato and Sivadon Chaisiri (2012) "Optimization of resource provisioning cost in cloud computing", IEEE Transactions On Services Computing, Vol. 5, No. 2, pp. 164-177.
2. Chang-Shing Perng , Tao Li , Rong N. Chang and Yexi Jiang (2013) "Cloud Analytics for Capacity Planning and Instant VM Provisioning", IEEE Transactions On Network And Service Management, Vol. 5, No. 3 pp. 170-185.
3. Alexander Shapiro, Marc Goetschalckx, Shabbir Ahmed and Tjendera Santoso (2005) "A stochastic programming approach for supply chain network design under uncertainity," Elsevier On Computer Networks, pp. 96-115.
4. Chung-Nan Lee, Da-Jing Zhang-Jian, Ren-Hung Hwang, Yi-Ru Chen(2013), "Cost optimization of Elasticity and Resource Subscription Policy", IEEE Transactions On Services Computing, Manuscript Id 10. 1109/TSC. 2013. 35, Vol. 1, No. 6, pp. 968-974.
5. Daniel Warneke and Odej Kao (2011) "Exploiting dynamic resource allocation for efficient parallel data processing in the cloud," IEEE Transactions On Parallel And Distributed Systems, Vol. 22, No. 6, pp. 985-997.
6. David Schanzenbach, Frederic Vivien, Henri Casanova and Mark Stillwell (2010) "Resource allocation algorithms for virtualized service hosting platforms", Elsevier On Parallel And Distributed Computing,pp. 962-974.
7. Fetahi Wuhib, Mike Spreitzer and Rolf Stadler (2012) "A gossip protocol for dynamic resource management in large cloud environments", IEEE Transactions On Network And Service Management, Vol. 9, No. 2, pp. 213-225.
8. Chaisiri, S. ;Bu-Sung Lee, Niyato, D. (2010) "Robust cloud resource provisioning for cloud computing environments", Service-Oriented Computing and Applications (SOCA), 2010 IEEE International Conference, Vol. 6, No. 3, pp. 1-8.
9. Fumitaka Higashitani, Kazuo Miyashita and Kazuyuki Masuda (2008) "Coordinated service allocation through flexible reservation," IEEE Transactions On Services Computing, Vol. 1, No. 2, pp. 117-128.
10. Alexander Shapiro, Marc Goetschalckx, Shabbir Ahmed and Tjendera Santoso (2005) "A stochastic programming approach for supply chain network design under uncertainity," Elsevier On Computer Networks, pp. 96-115.
11. Gagan Agrawal, and Qian Zhu, (2012) "Resource provisioning with budget constraints for adaptive applications in cloud environments", IEEE Transactions On Services Computing, Vol. 5, No. 4, pp. 497-511.
12. Gagan Agrawal, Qian Zhu and Smita Vijayakumar (2010) "Dynamic Resource Provisioning for Data Streaming Applications in a Cloud Environment", 2nd IEEE International Conference on Cloud Computing Technology and Science,Vol. 6, No. 2, pp. 166-178.
13. Kandasamy N. and Kusic D. (2007) "Risk aware limited lookahead control for dynamic resource provisioning in enterprise computing systems", Springer On Cloud Computing, pp. 395-408.
14. Kwang Mong Si and Seokho Son (2012) "A price-and-time slot negotiation mechanism for cloud service reservations", IEEE Transactions On Systems, Man And Cybernatics, Vol. 42, No. 3, pp. 713-728.
15. Torsten Eymann, and Werner Streitberger (2009) "A simulation of an economic, self-organizing resource allocation approach for application layer networks", Elsevier On Computer Networks, pp. 1760-1770.
16. Weisong Shi, Ying Song and Yuzhong Sun (2013) "A two-tiered on-demand resource allocation mechanism for VM-based data centers", IEEE Transactions On Services Computing, Vol. 6, No. 1, pp. 116-129.

Vmr Store Virtual Machine Provider Customer Cost.