Service optimal combination method for resources and QoS (Quality of Service) perception
A technology for optimizing combination and resources, applied in the field of service computing, it can solve the problems of service combination failure and reduce the success rate of service combination, and achieve the effect of increasing the success rate, improving the service optimization combination, and improving the solution efficiency.
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[0022] A resource and QoS aware service optimization combination method, the method includes the following steps:
[0023] (1) Divide the candidate service set of each task in the service composition process into a priori service set, similar service set and total service set;
[0024] (2) Rank the services in the prior service set and the similar service set according to the evaluation value of service quality;
[0025] (3) Initialize the food source group of the artificial bee colony method: generate SN initial food sources that meet the resource requirements and user QoS constraints based on the prior service set, evaluate each food source, and randomly assign these food sources to the SN hired bees;
[0026] (4) Hire bee search stage: For each employed bee, randomly select the j-th dimensional variable of the food source, and its corresponding candidate service set is S j , where j represents the serial number of the jth dimension variable of the food source, 1= is the...
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