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Cloud computing is the use of computing resources such as hardware and software that are delivered as a subscription-based service and on demand services over a network. In cloud computing environments, there are two players: cloud providers and cloud users. Users always want to send their most sensitive data to cloud service centers, which is based on the trust relationship established between users and service providers. So we require such a middleware framework of trust management that can effectively reduce user burden and improve system dependability. To increase the adoption of cloud services, a cloud broker should establish and provide trust management capacity to alleviate the worries of their users. Using SOTS [Service Operator-aware Trust Scheme], the broker can efficiently and accurately prepare the most trusted resources and thus provide more dependable resources to users. Traditionally cloud providers provide assurances by specifying technical and functional descriptions in Service level agreements (SLAs) for the services they offer. But the customers are not sure whether they can identify trustworthy cloud providers only based on its SLA. We address SOTS for trustworthy resource matchmaking across multiple clouds. In this work we can facilitate the effective utilization of SOTS in a large scale multi-cloud environment by using GTD based resource matchmaking algorithm and FSLA mechanism.

Optimization of Trust Management Scheme for Multi Cloud Environment