Automatic SLA Matching and Provider Selection in Grid and Cloud Computing Markets
GRID '12 Proceedings of the 2012 ACM/IEEE 13th International Conference on Grid Computing
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Service Level Agreements (SLA) management has been the subject of intensive research. However, the existing protocols for SLA negotiation and generation have not addressed the issue of the knowledge difference between clients and the providers. In this paper, we present the implementation of our automatic matching approach between the client and the provider in order to bridge the gap between their knowledge degrees. Our matching approach is based on inference techniques and semantic interpretation. The first step of this approach consists in generating correspondences between the client and the provider terms by assigning a certainty degree for their equivalence. The second step corrects and refines these certainties. In the third step, we evaluate the matching results. In case of compatibility, in the last step, a draft version of an agreement is automatically generated. In this paper, we present the implementation of the three first steps.