Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Existing methods for QoS-aware services composition only consider b services whose service class is specified in the process definition as the candidate. Hover, there may exist some services that could also accomplish partial goal of the b service composition but their service classes do not appear in the process definition. ,  propose a new QoS-aware service composition approach, which expands the choice for services selection by allowing b services of various granularities to be available for selection. A method based on Mixed Integer Linear Programming (MILP) is proposed to solve the QoS-based Multi-Granularity Service Selection Problem (QMGSSP), which optimizes the user-defined objective and meets the end-to-end QoS constraints as ll. Experiments show the effectiveness of our approach.
['Bo Zhou', 'Keting Yin', 'Honghong Jiang', 'Shuai Zhang', 'Aleksander J. Kavs']
I am writing a research paper on a idea QoS-based Selection of Multi-Granularity Web Services for the Composition
[{"from": "human", "value": "I am writing a research paper on a idea QoS-based Selection of Multi-Granularity Web Services for the Composition"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Existing methods for QoS-aware services composition only consider b services whose service class is specified in the process definition as the candidate. Hover, there may exist some services that could also accomplish partial goal of the b service composition but their service classes do not appear in the process definition. ,  propose a new QoS-aware service composition approach, which expands the choice for services selection by allowing b services of various granularities to be available for selection. A method based on Mixed Integer Linear Programming (MILP) is proposed to solve the QoS-based Multi-Granularity Service Selection Problem (QMGSSP), which optimizes the user-defined objective and meets the end-to-end QoS constraints as ll. Experiments show the effectiveness of our approach."}]