Abstract

In the existing service selection models, there is not a good one for SaaS system. In view of the characteristics of multi-tenant in SaaS system and the perspective of ensuring the tenants' enthusiasm, this paper puts forward a QoS-constrained service discovery model based on intelligent agent, as well as a service selection algorithm based on tenant level. Extensive experiments have been conducted and the experimental results show that the proposed algorithm is able to match the level of the tenant properly. Compared with homogeneous models, this proposed model also achieves better performance in the multi-tenant environment of SaaS system.

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