Mobility-aware Seamless Virtual Function Migration in Deviceless Edge Computing Environments

Yaodong Huang, Zelin Lin, Tingting Yao, Xiaojun Shang, Laizhong Cui, J. Huang
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引用次数: 2

Abstract

Serverless Computing and Function-as-a-Service (FaaS) offer convenient and transparent services to developers and users. The deployment and resource allocation of services are managed by the cloud service providers. Meanwhile, the development of smart mobile devices and network technology enables the collection and transmission of a huge amount of data, which creates the mobile edge computing shifting tasks to the network edge for mobile users. In this paper, we propose a deviceless edge computing system targeting the mobility of end users. We focus on the migration of virtual functions to provide uninterrupted services to mobile users. We introduce the deviceless edge computing model and propose a seamless migration scheme of virtual functions with limited involvement of function developers. We formulate the migration decision problem into integer linear programming and use receding horizon control (RHC) for online solutions. We implement the migration system and algorithm to support delay-sensitive scenarios over real edge devices and develop a streaming game as the virtual function to test the performance. Extensive experiments in real scenarios exhibit the system has the ability to support high-mobility and delay-sensitive application scenarios. Extensive simulation results also show its applicability over large-scale networks.
无设备边缘计算环境中移动感知的无缝虚拟功能迁移
无服务器计算和功能即服务(FaaS)为开发人员和用户提供方便和透明的服务。服务的部署和资源分配由云服务提供商管理。同时,智能移动设备和网络技术的发展使得海量数据的采集和传输成为可能,这使得移动用户的移动边缘计算任务向网络边缘转移。本文提出了一种针对终端用户移动性的无设备边缘计算系统。我们专注于虚拟功能的迁移,为移动用户提供不间断的服务。我们引入了无设备边缘计算模型,并提出了一种功能开发人员参与有限的虚拟功能无缝迁移方案。我们将迁移决策问题转化为整数线性规划,并使用后退水平控制(RHC)进行在线求解。我们实现了迁移系统和算法,以支持在真实边缘设备上的延迟敏感场景,并开发了一个流游戏作为虚拟功能来测试性能。在实际场景中的大量实验表明,该系统具有支持高移动性和延迟敏感应用场景的能力。大量的仿真结果也表明了该方法在大规模网络中的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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