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Research of User Request Algorithm in Mobile Cloud Computing Based on Improved FCM and Collaborative Filtering

机译:基于改进FCM和协同过滤的移动云计算用户请求算法研究

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摘要

Improved FCM algorithm based on genetic algorithm is used to extract user needs in mobile cloud computing. By using its characteristics of fast clustering, users can be divided into the same category with similar attributes and behavior patterns, and then use the similarity recommendation algorithm, which makes the similar user requests can be quickly responded. This algorithm (GAFCM-CF) is proposed in this paper to solve the problem of mobile cloud user attribute collection and user request processing in small and medium network. At the same time, this paper compares the simulation experiment with the traditional MIN-MIN scheduling algorithm, and verifies the effectiveness and efficiency of the algorithm.
机译:基于遗传算法的改进FCM算法用于提取移动云计算中的用户需求。利用其快速聚类的特性,可以将用户分为具有相似属性和行为模式的同一类别,然后使用相似性推荐算法,从而可以快速响应相似的用户请求。本文提出了该算法(GAFCM-CF),以解决中小型网络中移动云用户属性收集和用户请求处理的问题。同时,将仿真实验与传统的MIN-MIN调度算法进行了比较,验证了算法的有效性和有效性。

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