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CNS Core: Small: Towards Seamless Mobility in Mobile Edge Computing Networks

CNS 核心：小型：迈向移动边缘计算网络的无缝移动性

基本信息

批准号：
1910891
负责人：
Jiang Linda Xie
金额：
$ 30万
依托单位：
University of North Carolina at Charlotte
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-10-01 至 2023-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1910891&HistoricalAwards=false
关键词：
CNS Core Small Towards Seamless

项目摘要

Mobile edge computing (MEC) has emerged as a promising technology to overcome the challenges of executing latency-sensitive and computation-intensive applications at resource-limited mobile devices, by pushing mobile computing, network control, and storage resources to the edge of mobile wireless networks. The mobility support issue is considered as a critical component to ensure the success of MEC. Although the mobility support issue has been extensively investigated in conventional wireless networks, mobility management schemes proposed in these networks consider the communication-only scenario, while MEC networks tie communications together with computing activities. Therefore, many issues related to mobility support in MEC networks remain unexplored. Existing communication-oriented mobility solutions will have serious performance degradation due to the neglect of computation related metrics in mobility solutions. In addition, new uplink and downlink traffic distribution in MEC creates unique challenges for seamless mobility support. This research will help generate innovative mobility support techniques for numerous applications, e.g., autonomous driving, cognitive assistance, mobile health, and Internet of Everything. It will also have significant impacts on research in emerging technologies with high mobility scenarios, such as connected vehicles and unmanned aerial systems.The research objective of this project is to design, analyze, and evaluate new algorithms for providing seamless mobility support in mobile edge computing (MEC) networks with integrated computing and communication activities. The proposed design is aimed at minimizing service disruptions and performance degradation caused by user mobility in MEC. This research is the first that systematically addresses the unique challenges encountered during the course of seamless mobility support in MEC networks. This project includes three research tasks to achieve the seamless mobility goal: (1) design a smart handoff triggering scheme to achieve a fast and accurate trigger for seamless mobility support; (2) design a service rebuilding process for seamlessly restoring offloaded services on the new MEC server after a handoff is triggered; and (3) design a service allocation scheme to minimize performance degradation during mobility caused by radio resource allocation unfairness. This research offers fundamental building blocks and provides invaluable insights towards seamless mobility in MEC networks. This project also integrates research findings into related graduate courses and diversity support.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

移动的边缘计算（MEC）已经成为一种有前途的技术，通过将移动的计算、网络控制和存储资源推到移动的无线网络的边缘，来克服在资源有限的移动的设备处执行延迟敏感和计算密集型应用的挑战。流动性支持问题被认为是确保微型企业合作取得成功的一个关键组成部分。虽然在传统的无线网络中已经广泛研究了移动性支持问题，但是在这些网络中提出的移动性管理方案考虑仅通信的场景，而MEC网络将通信与计算活动联系在一起。因此，与MEC网络中的移动性支持相关的许多问题仍然未被探索。现有的面向通信的移动性解决方案将有严重的性能下降，由于忽略了计算相关的度量在移动性解决方案。此外，MEC中新的上行链路和下行链路业务分布为无缝移动性支持带来了独特的挑战。这项研究将有助于为许多应用产生创新的移动性支持技术，例如，自动驾驶、认知辅助、移动的健康和万物互联。该项目的研究目标是设计、分析和评估新算法，以在集成计算和通信活动的移动的边缘计算（MEC）网络中提供无缝移动性支持。所提出的设计旨在最大限度地减少服务中断和性能下降所造成的用户移动MEC。这项研究是第一项系统地解决MEC网络中无缝移动支持过程中遇到的独特挑战的研究。为了实现无缝移动性，本课题主要完成了三个方面的研究工作：（1）设计一种智能切换触发机制，实现快速准确的切换触发，以支持无缝移动性;（2）设计一种业务重建流程，在切换触发后，在新的MEC服务器上无缝恢复卸载的业务;以及（3）设计服务分配方案以最大限度地减少移动期间由于无线电资源分配不公平而导致的性能下降。这项研究提供了基本的构建模块，并为MEC网络中的无缝移动性提供了宝贵的见解。该项目还将研究成果整合到相关的研究生课程和多样性支持中。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。