Three-Tier Architecture for Resource Selection in Grid

Abstract

In most of the trust-based systems, intermediaries, known as brokers, are responsible for the selection of Service Providers (SPs) for consumer requests. In such models, the intermediaries gain monetary benefit for each of the transactions made through them. This may lead to favoritism & bias in the selection of suitable SPs. This challenge may be overcome by the proposed three-tier framework where the Regional Resource Administrators (RRAs), resource brokers and the SPs are arranged into three-tiers. RRAs derive their compensation from registration, renewal, and audit charges paid by broker community, not from individual transactions. RRAs serve the consumer community in an `unbiased' and `trustworthy' manner. In this model, the trust-indices of each of the entities are computed based on the feedback provided by other entities after each transaction. These trust-indices of brokers, consumers and SPs are updated dynamically at the RRA's and the broker's sites respectively, to ensure trustworthy services and to quicken the selection of `suitable' SPs. A B-Tree indexing scheme has been proposed to further improve the selection process. Global trust-indices of the SPs are computed using Back Propagation Neural Networks, further quickens the selection of a `suitable' SP. Our model shows a marked improvement in job-success-rate for various percentages of malicious entities. The selection query- cost for each transaction is reduced using B-Tree thereby improving the selection response.