Paper Details

— A cloud resource procurement approach which not only automates the selection of an appropriate cloudvendor but also implements dynamic pricing. Three possible mechanisms are suggested for cloud resource procurement:cloud-dominant strategy incentive compatible (C-DSIC), cloud-Bayesian incentive compatible (C-BIC), and cloudoptimal (C-OPT). A procurement module for a cloud broker which can implement C-DSIC, C-BIC, or C-OPT to performresource procurement in a cloud computing context. A cloud broker with such a procurement module enables users toautomate the choice of a cloud vendor among many with diverse offerings, and is also an essential first step towardimplementing dynamic pricing in the cloud. If the cloud user is not satisfied with the resource availability, he can rerequest the cloud broker for other cloud. Then the cloud broker will send all the specification again to the cloud vendors.And then all the three possible algorithms for cloud resource procurement: cloud-dominant strategy incentive compatible(C-DSIC), cloud-Bayesian incentive compatible (C-BIC), and cloud optimal (C-OPT) will be reapplied by the cloudbroker on the remaining clouds .And again the best cloud from the remaining clouds will be selected and declared aswinner. And then again the winner is sent to the cloud user. In the existing system only the cost and quality of the cloud isconsidered, but in the proposed system will add another factor of time duration.

Sonali Dhawale, Prashant Kolage, Prof: Pranjali Hapase, “Mechanism Design Approach for Efficient and Reliable Resource Procurement in Cloud Computing.”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 3, pp. 114-118, March 2017.