基于云平台的物联网数据挖掘算法的能量分析

Based on Cloud Platform the Energy Analysis of Internet of Things of the Data Mining Algorithms

从物联网产生的大量数据中获得有效信息需求出发,分析数据挖掘在现有运行平台上的不足,同时指出云平台上的优势。分析数据挖掘中的决策树算法,通过对信息熵和信息增益地分析,得出算法复杂度和能量之间的内在关系,指出并行数据挖掘的计算复杂度和通信复杂度对效率地影响,得出提高系统的隐含并行性是在云平台下减少运行时间、降低能耗的可靠办法。

This paper starts with the requirement of an effective information from Internet of things,and analyses the deficiency of data mining in the current running platform,and at the same time points out the advantages of the cloud platform.Then,it analyses the data mining decision tree algorithm,and analyses the information entropy and information gain,and obtains the intrinsic relationship between the algorithm complexity and the energy.It points out that the parallel data mining computational complexity and communication complexity impact on the efficiency.Finally,to conclude,improving the algorithm complexity and increasing system implicit parallelism is a reliable way in the cloud platform to reduce running time and energy consumption.