CSR: Small: Collaborative Research: Designing Hierarchical Edge Cloud for Mobile Computing

通过在云端远程执行移动的应用，可以利用云计算来弥合移动的应用的日益增加的复杂性与移动的设备的有限能力之间的差距。然而，这种远程执行的效率受到访问数据中心的过度网络延迟以及供应和管理大量虚拟机（VM）的显著开销的阻碍。传统解决方案通过在网络边缘部署服务器来降低云访问延迟，但忽略了移动的用户的工作负载模式对云运行效率的影响。相反，该项目旨在将边缘云设计为地理分布服务器的树形层次结构，以便有效地利用云资源来处理来自移动的用户的峰值负载。这项研究将有利于最终用户与各种移动的设备，促进这些设备到云中的实际集成。这项研究的结果可能会促进边缘云设计和移动的云计算的新研究方向。该项目将使代表性不足的学生参与研究活动，该项目的学术发现将广泛传播给社区。该项目旨在通过以分层方式设计边缘云来满足远程程序执行的性能要求，从而确保云资源的有效利用。更具体地说，该项目包括三个紧密交织的研究重点：（i）开发算法和系统，以优化边缘云服务器之间的移动的工作负载的放置，并有效地服务于移动的峰值负载; ii）通过开发高效的移动感知VM迁移技术，减轻用户移动性对远程程序执行性能的影响; iii）开发一个实验测试平台，作为一个独特的研究设施，以模拟和调查移动的工作负载峰值对边缘云操作的影响。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。

Cloud computing can be leveraged to bridge the gap between the increasing complexity of mobile applications and the limited capabilities of mobile devices, by remotely executing mobile applications at the cloud. However, the efficiency of such remote execution is hindered by excessive network latency accessing data centers and significant overhead of provisioning and managing large amounts of Virtual Machines (VMs). Traditional solutions reduce the cloud access latency by deploying servers at the network edge, but ignore the impact of mobile users' workload patterns on the efficiency of cloud operation. Instead, this project aims to design the edge cloud as a tree hierarchy of geo-distributed servers, so as to efficiently exploit the cloud resources for handling the peak load from mobile users. This research will benefit end users with various mobile devices by facilitating practical integration of these devices into the cloud. The results from this research are likely to foster new research directions on edge cloud design and mobile cloud computing. The project will engage under-represented students in the research activities, and the scholarly discovery of this project will be disseminated broadly to the community. This project aims to satisfy the performance requirements of remote program execution by designing the edge cloud in a hierarchical manner and hence ensuring efficient utilization of cloud resources. More specifically, this project consists of three closely intertwined research thrusts: (i) developing algorithms and systems to optimize the placement of mobile workloads among edge cloud servers and efficiently serve the mobile peak load; ii) mitigating the impact of user mobility on the performance of remote program execution, by developing efficient mobility-aware VM migration techniques; iii) developing an experimental testbed, as a unique research facility, to emulate and investigate the impact of mobile workload peak on edge cloud operations.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.