Mechanism Design Approach for Efficient and Reliable Resource Procurement in Cloud Computing.
Keywords:
Cloud computing, mechanism design, cloud broker, resource procurement, reverse auctions, multiattribute auctions, dynamic pricingAbstract
— A cloud resource procurement approach which not only automates the selection of an appropriate cloud
vendor 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 cloud
optimal (C-OPT). A procurement module for a cloud broker which can implement C-DSIC, C-BIC, or C-OPT to perform
resource procurement in a cloud computing context. A cloud broker with such a procurement module enables users to
automate the choice of a cloud vendor among many with diverse offerings, and is also an essential first step toward
implementing dynamic pricing in the cloud. If the cloud user is not satisfied with the resource availability, he can re
request 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 cloud
broker on the remaining clouds .And again the best cloud from the remaining clouds will be selected and declared as
winner. And then again the winner is sent to the cloud user. In the existing system only the cost and quality of the cloud is
considered, but in the proposed system will add another factor of time duration.