CSR: Small: Toward a Scalable, Multi-Tenant, Edge-Cloud Infrastructure for Real-Time Computation

CSR：小：迈向可扩展、多租户、边缘云实时计算基础设施

• 批准号: 1815690
• 负责人: Gabriel Parmer
• 金额: $ 53.2万
• 依托单位: George Washington University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2023-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1815690&HistoricalAwards=false
• 关键词: CSR; Small; Toward; Scalable; Multi

Applications are increasingly cloud-connected, and are dependent on fast service that is impossible if their requests must travel to a cloud data center. Edge-computing places a smaller amount of computation on the network very close to the applications themselves, providing fast servicing of requests. This enables new application types such as virtual and augmented reality, which want to display information to users with imperceptible overheads.Unfortunately, current cloud computing systems cannot support the density or diversity of applications found in edge-computing deployments. Each connected device -- be it a cell phone, a smart building sensor, or an autonomous vehicle -- may require different software to run in the edge cloud, and mobile users may constantly be arriving and departing. Since these software components cannot necessarily be trusted, resources must be carefully isolated to provide security and prevent interference. This research creates EdgeOS, which provides strong multi-tenant isolation while ensuring quick response times, and efficient use of computational resources.EdgeOS introduces a number of system abstractions to enable multi-tenant edge-clouds: a new lightweight process abstraction that enables a very large number of clients to be served efficiently, and with isolation; controlled communication to ensure safe, efficient coordination; and system support for controlling the service time of various clients to ensure the timely processing of requests. These new operating system abstractions will help edge clouds realize their potential in offering low-latency services.The EdgeOS research is paired with an educational initiative that will deepen the systems curriculum, engage undergraduate students in research, and involve a diverse body of students.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.

应用程序越来越多地连接，并且取决于快速服务，如果他们的请求必须运行到云数据中心，这是不可能的。边缘计算将较小的计算在网络上非常接近应用程序本身，从而提供了快速的请求服务。 这使新的应用程序类型（例如虚拟和增强现实）想要向用户不可察觉的间接开销的用户显示信息。每个连接的设备 - 无论是手机，智能建筑传感器还是自动驾驶汽车）可能需要不同的软件才能在边缘云中运行，并且移动用户可能会不断到达和离开。由于这些软件组件不一定会被信任，因此必须仔细隔离资源以提供安全性并防止干扰。这项研究创建了Edgeos，它提供了强大的多租户隔离，同时确保了快速响应时间，并有效地利用了计算资源。Edgeos引入了许多系统抽象，以使多租户边缘云：一种新的轻便过程抽象，可以使大量客户有效地服务，并且可以隔离；控制沟通以确保安全，有效的协调；系统支持控制各种客户的服务时间，以确保及时处理请求。这些新的操作系统摘要将有助于Edge Clouds实现其提供低延迟服务的潜力。《边缘研究》与一项教育计划配对，该计划将加深系统课程，吸引本科生从事研究，并参与多种学生。该奖项反映了NSF的法定任务，并通过评估基金会的范围来反映出支持者的支持者，并通过基金会的范围进行了评估和宽广的影响。

项目成果

Edge-RT: OS Support for Controlled Latency in the Multi-Tenant, Real-Time Edge

• DOI: 10.1109/rtss55097.2022.00011
• 发表时间: 2022-12
• 期刊: 2022 IEEE Real-Time Systems Symposium (RTSS)
• 作者: Wenyuan Shao;Bite Ye;Huachuan Wang;Gabriel Parmer;Yuxin Ren

Fine-Grained Isolation for Scalable, Dynamic, Multi-tenant Edge Clouds

• 发表时间: 2020-07
• 作者: Yuxin Ren;Guyue Liu;Vlad Nitu;Wenyuan Shao;Riley Kennedy;Gabriel Parmer;Timothy Wood;A. Tchana

Sledge: a Serverless-first, Light-weight Wasm Runtime for the Edge

• DOI: 10.1145/3423211.3425680
• 发表时间: 2020-12
• 期刊: Proceedings of the 21st International Middleware Conference
• 作者: Phani Kishore Gadepalli;Sean P. McBride;Gregor Peach;L. Cherkasova;Gabriel Parmer

Practical Principle of Least Privilege for Secure Embedded Systems

安全嵌入式系统的最小权限实用原则

• DOI: 10.1109/rtas52030.2021.00009
• 发表时间: 2021
• 期刊: IEEE 27th Real-Time and Embedded Technology and Applications Symposium (RTAS
• 作者: Jero, Samuel;Furgala, Juliana;Pan, Runyu;Gadepalli, Phani Kishore;Clifford, Alexandra;Ye, Bite;Khazan, Roger;Ward, Bryan C.;Parmer, Gabriel;Skowyra, Richard
• 通讯作者: Skowyra, Richard

Towards efficient processing of latency-sensitive serverless DAGs at the edge

在边缘高效处理延迟敏感的无服务器 DAG

• DOI: 10.1145/3517206.3526274
• 发表时间: 2022
• 期刊: Analytics and Networking (Edgesys
• 作者: Lyu, Xiaosu;Cherkasova, Ludmila;Aitken, Robert;Parmer, Gabriel;Wood, Timothy
• 通讯作者: Wood, Timothy