作　　者： ; ; ;

机构地区： 桂林电子科技大学信息与通信学院

出　　处： 《计算机科学》 2013年第6期63-66,93,共5页

摘　　要： 近年来数字家庭技术迅猛发展,但业务调度还不够智能。提出一种基于用户偏好和模糊逻辑的数字家庭业务智能调度算法。该算法首先根据用户当前行为和时间段,应用模糊逻辑判断所处情景模式,再根据用户的行为偏好、心理状态和所处时间段预判出用户将要使用的业务。结果表明,先判断情景模式再预判业务的算法其成功匹配率明显高于直接预判业务的算法。考虑用户行为偏好和心理状态的算法更适应个性化的数字家庭环境,与最大最小公平调度等经典算法相比,提出的算法成功匹配率更高。 Digital home technologies develop rapidly in recent years while the service scheduling is not very smart. An intelligent digital home service scheduling algorithm based on user preference and fuzzy logic was proposed. Firstly, fuzzy logic is applied to determine the scenario according to the user＇s current behavior and times duration. Then, user preference, phychological state and time duration are considered to predict the user＇s next service. The results show that compared to the algorithm which predicts the next service directly, the algorithm which first determines the scenario thenpredicts the next service has higher successful matching rate. The algorithm considering user preference and psy- chological state better adapts to the personalized digital home environment. Compared to the classical algorithms like minimax fair scheduling, the proposed algorithm attains higher successful matching rate.

关 键 词： 数字家庭 业务调度 用户偏好 模糊逻辑 最大最小公平调度

领　　域： [电子电信] [电子电信]