閱讀全文 | |
篇名 |
Research of the Service Composition Optimization Model Based on Petri Net
|
---|---|
並列篇名 | Research of the Service Composition Optimization Model Based on Petri Net |
作者 | Dan Liu、Shu-Wen Yao、Yan Zeng、Ke Zhao、Yan-An Guo、Li Li |
英文摘要 | Cloud service systems bring together a wide variety of flexible and scalable mass services. The service combination scheme which can meet the user’s needs is provided to the user through the flexible and changing service mode of service combination technology. However, service combination failures often occur. In view of the above problems, this paper establishes the cloud service combination optimization model. Firstly, it is proposed that the Service Combination Optimization Petri Net models and analyzes the service selection and combination. In order to avoid local convergence, combining Service Combination Optimization Petri Net with improved Genetic Algorithm, a service combination model based on Local Search Operator Genetic Algorithm is proposed, and the legitimacy of service combination sequence is verified by Petri net. The results of experiment show that the Petri net service composition model can effectively verify the constraints of service composition and the logical rationality of the system, the Local Search Operator Genetic Algorithm effectively reduces the search space and improves the convergence rate. Compared with other algorithms, the execution efficiency and accuracy of Local Search Operator Genetic Algorithm are improved. |
起訖頁 | 101-114 |
關鍵詞 | cloud service combination optimization、Petri net、genetic algorithm、local search operator |
刊名 | 電腦學刊 |
期數 | 202110 (32:5期) |
DOI |
|
QR Code | |
該期刊 上一篇
| Task Scheduling Strategy Based on Queueing Model in Cloud Computing and Its Energy Consumption Optimization Analysis |
該期刊 下一篇
| Low-power Iris Recognition System Implementation on FPGA with Approximate Multiplier |