Optimizing Service Ecosystems in the Cloud

نویسندگان

  • Usman Wajid
  • César A. Marín
  • Nikolay Mehandjiev
چکیده

A service ecosystem is a virtual space ideally distributed across networks and geographical areas where vast numbers of services and other digital entities can coexist and converge to form ad-hoc solutions. In this paper we present experimental results showing the performance of two optimization models in service ecosystem. We describe the two models and how they operate under service ecosystem conditions. We emulate service ecosystem conditions in a multi-site federated Cloud and test the two models under different scenarios. The experimental results help us to determine strengths and weaknesses of the two optimization models enabling us to make recommendations for their use in different application domains.

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تاریخ انتشار 2013