Abstract
With the development of the mobile Internet of Things, people have higher and higher requirements for services, and how to provide high-quality services that meet the needs of users has also become a hot issue of current research. This article is also in the context of the mobile Internet of Things, researching the solution to the service matching problem. In order to provide high-quality grid services, the grid system needs the support of quality of service (QoS). Based on the existing QoS matching strategy, a service matching strategy based on dynamic grid QoS is proposed. This paper combines semantic information, considers service quality QoS and user preferences, and improves the success rate of service matching through hierarchical matching, so as to provide users with high-quality services. At the same time, the classic Max-Min algorithm in grid task scheduling is analysed, and on this basis, the impact of QoS on task scheduling is fully considered, and combined with the concept of execution cost, a grid task based on QoS constraints (MOS) is proposed. Through simulation verification and analysis, the strategy in this paper not only achieved higher matching performance, but also improved the success rate of task execution, and the effect of system load balancing was also significantly improved.
Highlights
Internet of ings (IoT) is based on a large number of microdevices, combining traditional and emerging industry applications, with a new generation of Internet as the backbone, and is a ubiquitous and global network [1,2,3]. e emergence of the IoT provides a good basic platform for the realization of a pervasive computing environment. erefore, the IoT is another wave of technology and economy brought by the global information industry after computers, mobile communication networks, and the Internet
On the basis of studying the existing quality of service (QoS)-based matching strategy, this paper proposes a service matching strategy based on dynamic grid QoS. is article combines semantic information to improve the success rate of service matching through hierarchical matching
This paper introduces semantic information, considers QoS and user preferences, and adopts hierarchical matching to design a new service matching algorithm for mobile IoT
Summary
Internet of ings (IoT) is based on a large number of microdevices (such as actuators and sensors), combining traditional and emerging industry applications, with a new generation of Internet as the backbone, and is a ubiquitous and global network [1,2,3]. e emergence of the IoT provides a good basic platform for the realization of a pervasive computing environment. erefore, the IoT is another wave of technology and economy brought by the global information industry after computers, mobile communication networks, and the Internet. Erefore, the IoT is another wave of technology and economy brought by the global information industry after computers, mobile communication networks, and the Internet. It has brought great opportunities and challenges to the modern and fast-developing information digital life [4, 5]. Literature [9] studied the description of QoS parameters between service requesters and providers and used the method of sequential comparison for service matching. Literature [10] analysed the QoS attributes of the service, combined the representative attributes in the Complexity service into a matrix form, and obtained high-quality services through a local optimal selection algorithm. A grid task group scheduling algorithm (MOS) based on QoS constraints is proposed. e simulation results show that the strategy in this paper achieves higher matching performance, and improves the success rate of task execution, and the effect of system load balancing has been significantly improved
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