Cloud based Dual Auction (DA) and A* and IDA* Searching models using BH - Strategy for resource allocation in e-markets

Cloud platform has been most promising model for consumers at hiring maximum shared resources offered by variety of Cloud Service Providers (CSPs). The cloud environment users are slightly different from typical internet user since their demands are dynamic in nature they purely trust on CSPs to obtain storage and computing resources to fulfil their necessities. On other side CSPs trying to magnetize consumers on favourable provisions. In such type of aggressive cloud e-markets and pricing tags are vital factor of overall market effectiveness. The CSPs frequently post their policies and prices on cloud market rely on the total resources they can offer; in this article we elaborated an e-auction based proposal on cloud platform using Dual Auction (DA) mechanism using A* and IDA* searching model. It is originated to distribute the requirements and assist the trading process depend on the type of resources are being utilized. Various assessing criteria are adopted to analyse the efficacy of trading markets and their strategies. Furthermore, the preference of auction strategies to deploy a significant impact on each consumer to maximize their own revenues, hence we urbanized a narrative bidding stratagem for DA and two phase gaming based BH-strategy. At evaluation stage we premeditated three simulation models to calculate approximate performance of our defined approach with other already dictated auction strategies and verified that BH-strategy got enhanced improvisation on surpluses and triumphant contacts and e-market effectiveness, additionally we defined that our dynamic DA mechanism is practicable for cloud environment resource allocation.