An IoT Service Aggregation Method Based on Dynamic Planning for QoE Restraints
An IoT Service Aggregation Method Based on Dynamic Planning for QoE Restraints
复制标题
一种基于QoE约束动态规划的物联网服务聚合方法
DOI：
10.1007/s11036-018-1135-7
复制
发表时间：
2019-02-01
影响因子：
3.8
通讯作者：
Khan, Muhammad
中科院分区：
文献类型：
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作者：
Jia, Bing;Hao, Lifei;Khan, Muhammad
随着新的互联网技术，即物联网（IoT）的快速发展，物联网服务的数量急剧增长。为了让人们更容易、更快地利用服务资源，在物联网上收集服务变得越来越重要。目前的方法大多只能创建自动或半自动的业务组合方案，缺乏对实时数据和即时态势信息的支持和考虑，无法实现业务的动态自适应聚合。本文从功能约束和非功能约束两方面入手，提出了一种基于动态规划的面向QoE约束的物联网服务聚合方法。首先，构建了服务类别概念间关系的知识模型。其次，将服务类别的聚合问题映射为基于服务组合关系的动态规划问题，利用物联网服务类别本体，采用新的语义相似度计算方法作为服务选择的主要依据；最后，针对特定服务资源的选择，提出了一种面向QoE多约束度量的趋势感知服务选择算法。实验结果表明，该方法在查全率和查准率方面具有较好的性能。
With the rapid development of new internet technologies, i.e. Internet of Things (IoT), the amount of IoT services has grown dramatically. To make people easier and faster to utilize the service resources, it becomes more and more important to gather the services on the IoT. Most of the current methods can only create automatic or semi-automatic service composition schemes, and lack support and consideration of real-time data and instant situation information, so they cannot achieve dynamic adaptive aggregation of services. In this paper, we focus on both the functional and non-functional constrains, and propose an IoT service aggregation method based on dynamic planning oriented QoE constraint. Firstly, the knowledge model of relationship among service category concepts are constructed. Secondly, the aggregation problem of service categories is mapped to a dynamic programming problem based on the relationship between service composition, and a new semantic similarity computing method is used as the main basis for service selection by using the ontology of IoT service category. Finally, for the selection of specific service resources, a trend-aware service selection algorithm for the QoE multi-constrained measurement is proposed. Experimental results show that the proposed method has better performance in terms of recall and precision.