Abstract
With the development of theory and technology of Web Service, Web Service Composition (WSC) has become the core Service-Oriented Computing technology. It is important for business process to select the best component services with multi-dimensional QoS assurances to construct a complex one. But there exist some problems, such as evaluation for QoS properties of a service is not full-scale and the criteria is not clear, the weight for each QoS metric doesn’t consider both subjective sensations and objective facts. In this paper we propose a WSC model to provide multi-dimensional QoS supports in service selection and replacement. We consider SLA and recovery mechanism for the service failure during its execution. A utility function is defined as the evaluation standard, which aggregates all QoS metrics after normalizing their values. Then we use Subjective-Objective Weight Mode (SOWM) to set the weight of each QoS metric. Finally we introduce our prototype and evaluations, test the availability of the decision mode and the results prove it is predominant compared with other decision modes.
This work was supported by the National High-Tech Research and Development Plan of China under Grant Nos. 2003AA115210, 2003AA115410, 2005AA112030 ; the National Grand Fundamental Research 973 of China under Grant Nos.2005CB321800; the National Natural Science Foundation of China under Grant Nos. 60603063, 90412011.
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Feng, X., Wu, Q., Wang, H., Ren, Y., Guo, C. (2007). ZebraX: A Model for Service Composition with Multiple QoS Constraints. In: Cérin, C., Li, KC. (eds) Advances in Grid and Pervasive Computing. GPC 2007. Lecture Notes in Computer Science, vol 4459. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72360-8_52
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DOI: https://doi.org/10.1007/978-3-540-72360-8_52
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