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This paper proposes a performance prediction model for grid computing model ServiceBSP to support developing high quality applications in grid environment. In ServiceBSP model,the agents carrying computing tasks are dispatched to the local domain of the selected computation services. By using the IP(in-teger program) approach,the Service Selection Agent selects the computation services with global optimized QoS(quality of ser-vice) consideration. The performance of a ServiceBSP application can be predicted according to the performance prediction model based on the QoS of the selected services. The performance pre-diction model can help users to analyze their applications and improve them by optimized the factors which affects the perform-ance. The experiment shows that the Service Selection Agent can provide ServiceBSP users with satisfied QoS of applications.
This paper proposes a performance prediction model for grid computing model ServiceBSP to support developing high quality applications in grid environment. In ServiceBSP model, the agents carrying computing tasks are dispatched to the local domain of the selected computation services. By using the IP (in- teger program) the service Selection Agent selects the computation services with global optimized QoS (quality of ser-vice) consideration. The performance of a ServiceBSP application can be predicted according to the performance prediction model based on the QoS of the selected services. The performance pre-diction model can help users to analyze their applications and improve them by optimizing the factors which affects the perform-ance. The experiment shows that the Service Selection Agent can provide Service BSP users with satisfied QoS of applications.