Fuzzy Modeling of Resource Consumption for Service Composition Evaluation

The increasing numbers of different services that execute similar tasks offer the user a tough choice. Since most services perform nearly identical or their properties are not comparable easily, users are often not in the position to differ between various qualities of service. The situation becomes even worse if multiple single services are combined into complex service compositions that are elusive for the user. The distribution of services of a composition on a multiplicity of devices with heterogeneous performances requires for optimal resource allocation, since resources are limited and the user is interested in the best workload. In order to allow a user to formulate vague estimation of service behavior on resource consumption, this paper introduces a fuzzy model for the representation of such user preferences based on the model proposed by Pfeffer et al. The specified model can be combined easily with the existing model for fuzzy service properties. This allows for human-centric service composition evaluation on resource consumption. Both models allow a lightweight and fast evaluation process that is also introduced.