Performance-driven Service Selection Using GSPN
نویسندگان
چکیده
Performance has been one of the major concerns in Web Services research area. Because of the underneath heterogeneous networks and platforms, service providers do not guarantee the quality level of service negotiated in the contract. Besides, the performance of service composition needs to be assured to adapt dynamic service composition. We proposed a Probebased Web Service composition environment, WS-Pro, to address these problems. Generalized Stochastic Petri nets (GSPN) is used to formally model the service net, and integrated into the WS-Pro, to cooperate with a Probe, which checks performance status of component services at runtime, to help with service selection, which is the core of service composition. This paper reports the modeling of service selection problem using the GSPN, and the replanning of service composition inside the architecture of WS-Pro.
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