面向服务遥感图像处理平台中时间感知的服务质量预测  

Time-aware QoS prediction for SOA-based remote sensing image processing platform

作　　者：徐金荣 郭彩萍[1] 童恩栋 XU Jinrong;GUO Caiping;TONG Endong(Department of Electronic Engineering,Taiyuan Institute of Technology,Taiyuan Shanxi 030008,China;School of Computer and Information Technology,Beijing Jiaotong University,Beijing 100044,China)

机构地区：[1]太原工业学院电子工程系,太原030008 [2]北京交通大学计算机与信息技术学院,北京100044

出　　处：《计算机应用》2020年第6期1714-1721,共8页journal of Computer Applications

基　　金：国家自然科学基金资助项目(61802389);山西省高校科技创新项目(2019L0924);太原工业学院中青年学科带头人资助项目(201701)。

摘　　要：面向服务架构(SOA)通过将遥感图像处理算法抽象成组件化的服务,进一步通过服务选择及组合,满足遥感图像处理的复杂业务需求。为了得到满足用户服务质量(QoS)要求的服务组件进行组合,前提就是获得所有服务的QoS。然而,对于用户未调用过的服务,其QoS是缺失的,因此围绕缺失QoS的预测出现了很多研究工作。针对目前QoS预测没有考虑时效性,进而影响了QoS预测准确度的问题,通过考虑时效性提出基于时间片的QoS模型,进一步基于协同过滤提出时间感知的QoS预测方法。在WS-DREAM真实数据集中的实验结果表明,时间感知的QoS预测方法能够获得较小的均方误差(MAE)和均方根误差(RMSE)。此外,对于可能影响时间感知QoS预测的多个参数,通过设置不同的参数组合进行了多次实验和分析,为参数的选择提供了一定的参考。With the help of Service-Oriented Architecture(SOA),the remote sensing image processing algorithms can be abstracted into a set of component services. Then,flexible business requirements can be met through service selection and composition. In order to get the service components that meet the user’s Quality of Service(QoS)requirements for combination,QoS of all services should be firstly obtained. Indeed,the QoS of a service is unknown to its users who have never invoked the service before. Hence,many research work have been proposed to predict the missing QoS. However,these existing methods seldom take the temporal factors into consideration,which may decrease the prediction accuracy. In order to resolve the issue,a new QoS model based on time slice was firstly proposed by considering temporal factors.Furthermore,a time-aware QoS prediction method based on Collaborative Filtering(CF)was proposed. The experiments results on the WS-DREAM real dataset show that,the proposed time-aware QoS prediction method can obtain smaller Mean Square Error(MAE)and Root Mean Square Error(RMSE). In addition,some parameters may affect the time-aware QoS prediction performance. Thus,a set of experiments and analysis with various parameter combinations were carried out,which provides a certain reference for parameter selection.

关 键 词：面向服务架构 遥感图像处理 服务计算 时间感知 服务质量预测 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]