Algorithms for Web service selection with static and dynamic requirements

  • Authors:

  • Claudia Canali;Michele Colajanni;Riccardo Lancellotti

  • Affiliations:

  • Department of Information Engineering, University of Modena and Reggio Emilia, Modena, Italy;Department of Information Engineering, University of Modena and Reggio Emilia, Modena, Italy;Department of Information Engineering, University of Modena and Reggio Emilia, Modena, Italy

  • Venue:
  • Service Oriented Computing and Applications
  • Year:
  • 2013

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Abstract

A main feature of Service Oriented Architectures is the capability to support the development of new applications through the composition of existing Web services that are offered by different service providers. The runtime selection of which providers may better satisfy the end-user requirements in terms of quality of service remains an open issue in the context of Web services. The selection of the service providers has to satisfy requirements of different nature: requirements may refer to static qualities of the service providers, which do not change over time or change slowly compared to the service invocation time (for example related to provider reputation), and to dynamic qualities, which may change on a per-invocation basis (typically related to performance, such as the response time). The main contribution of this paper is to propose a family of novel runtime algorithms that select service providers on the basis of requirements involving both static and dynamic qualities, as in a typical Web scenario. We implement the proposed algorithms in a prototype and compare them with the solutions commonly used in service selection, which consider all the service provider qualities as static for the scope of the selection process. Our experiments show that a static management of quality requirements is viable only in the unrealistic case where workload remains stable over time, but it leads to very poor performance in variable environments. On the other hand, the combined management of static and dynamic quality requirements allows us to achieve better user-perceived performance over a wide range of scenarios, with the response time of the proposed algorithms that is reduced up to a 50 % with respect to that of static algorithms.