Abstract
Quality of Service (QoS)-aware web service composition is based on nonfunctional properties of component (or partner) web services. In a dynamic environment, these properties of partner web services change on the fly. There exist several research proposals that take into account QoS degradation of partner web services at run-time, and propose solutions to maintain the optimality of the service composition in such circumstances. In this paper, we focus on the problem from a different perspective. We take into account the situation when quality (QoS values) of some of the partner web services improves, but for some others it remains the same. With the passage of time, if the quality of these web services does not improve, they act as bottlenecks or the weakest links in an otherwise efficient process. We simulate a framework which identifies such web services, and expands the search domain by sending a selective query to remote/premium service registries/brokers for finding better alternatives of such services. The proposed approach is effective, efficient, and scalable as well.
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