Synergy-aware selection mechanism for high quality and sustainability of ubiquitous services

Xiyue Mao, Lanlan Rui, Shao-Yong Guo, Xue-song Qiu
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Abstract

In ubiquitous stub environments, it is a critical challenge to select an optimal set of devices to accomplish a graph-based ubiquitous service and execute it continuously. The mobility of devices, the diverse access technologies and underlying path quality have a great influence on the user experience. Thus, we put forward a hierarchical model and a novel selection function considering the synergetic effect between devices. Then we elaborate a Synergy-aware Selection Mechanism (SSM) which includes three modules: service launch, device selection and service maintenance. We design a distributed core algorithm to integrate the devices and a dynamic updating weight method. The simulation results show that Synergy-aware Selection Mechanism can select a set of executive devices to ensure the service quality, continuity and smoothness. It improves the performance in the perceived experience and the number of service reelections.
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协同意识选择机制为高质量和可持续性无处不在的服务
在泛在存根环境中,选择一组最优的设备来完成基于图的泛在服务并连续执行它是一个关键的挑战。设备的移动性、接入技术的多样性和底层路径质量对用户体验有很大影响。因此,我们提出了考虑设备间协同效应的分层模型和新的选择函数。然后详细阐述了协同感知选择机制(SSM),该机制包括服务启动、设备选择和服务维护三个模块。我们设计了一种分布式核心算法来集成设备,并设计了一种动态更新权值的方法。仿真结果表明,协同感知选择机制可以选择一组执行设备,以保证服务质量、连续性和平滑性。它提高了感知体验和服务重选次数方面的性能。
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