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A novel intelligent service selection method for third-party IT service

The third party IT service providers with multi brand service abilities maintain the competitive advantage over single original equipment manufacturers. It's a professional and efficient way to select a suitable service from each type of services to form a unified system of “one-stop” service for the user. D-GSS method is presented to match services' QoS with users' QoS requirements. A key challenge is how to enhance the efficiency of D-GSS method. Therefore, an improved discrete group search service (ID-GSS) is presented in this paper. The framework is mainly based on the producer-scrounger-ranger model. A min-cost function is presented in this paper to help all members in the group to find their respective approximate optimal solutions at each iteration more quickly. Thus ID-GSS has faster convergence speed than D-GSS. We study the convergence of ID-GSS method through verification and simulations.