首页> 外文会议>International Conference on Parallel and Distributed Computing, Applications and Technologies >Research of User Request Algorithm in Mobile Cloud Computing Based on Improved FCM and Collaborative Filtering
【24h】

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

机译:基于改进的FCM和协作滤波的移动云计算中用户请求算法研究

获取原文

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的FCM算法用于提取移动云计算中的用户需求。通过使用其快速聚类的特性,用户可以分为具有类似的属性和行为模式的相同类别,然后使用相似推荐算法,这使得可以快速响应类似的用户请求。本文提出了该算法(GAFCM-CF),以解决中小网络中的移动云用户属性收集和用户请求处理的问题。同时,本文将仿真实验与传统的Min-Min调度算法进行了比较,并验证了算法的效力和效率。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号