Keyword-Based Service Matching in a Cloud Environment Using Nature-Inspired Swarm Intelligence

In services computing, service discovery is an important activity to search the pertinent service to the client's requirement. With increasing keywords the search space grows above average and brute force is an inappropriate approach. A cloud service provider requires a flexible and an easy to use application. This practical research presented in this paper combines an intelligent solution based on nature-inspired swarm intelligence for keyword-based service matching with an innovative and user-friendly graphical user interface. Finding optimum parameter settings is a time-consuming and difficult task. Objective of the integrated Parameter Recommender is the determination of optimum values for the applied heuristic. 

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