Efficient Query of Quality Correlation for Service Composition

As enterprises around the globe embrace globalization, strategic alliances among enterprises have become an important means to gain competitive advantages. Enterprises cooperate to improve the quality or lower the prices of their services, which introduce quality correlations, i.e., the quality of a service is associated with other services. Existing approaches for service composition have not fully and systematically considered the quality correlations between services. In this paper, we propose a novel approach named Q(2)C (Query of Quality Correlation) to systematically model quality correlations and enable efficient queries of quality correlations for service compositions. Given a service composition and a set of candidate services, Q(2)C first preprocesses the quality correlations among the candidate services and then constructs a quality correlation index graph to enable efficient queries for quality correlations. Extensive experiments are conducted on a real-world web service dataset to demonstrate the effectiveness and efficiency of Q(2)C.

Automated summary

Enterprises are increasingly forming strategic alliances as a way to gain competitive advantages in the global market. This paper introduces a novel approach named Q(2)C to systematically model quality correlations among services and enable efficient queries for service compositions. Extensive experiments on a real-world web service dataset demonstrate the effectiveness and efficiency of Q(2)C.