Collaborative Research: CNS Core: Medium: High-performance Network Stacks for the Edge

合作研究：CNS 核心：中：边缘的高性能网络堆栈

• 批准号: 2212099
• 负责人: Adam Belay
• 金额: $ 45万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2212099&HistoricalAwards=false
• 关键词: Collaborative; Research; CNS; Core; Medium

Edge computing is instrumental to the growth of many sectors of modern digital economies, ranging from enterprise IT and communication, to smart cities, manufacturing, and healthcare. By bringing resources closer to end users in the form of regional or micro-datacenters (uDCs), edge computing enables new applications with extreme low-latency and high-bandwidth demands. This project considers the design of the end-host networking stack for edge servers. Maximizing utilization of the limited uDC resources is therefore critical for both cost and performance reasons, motivating us to revisit the software and hardware layers that are used in the edge today. This project will follow a software/hardware co-design approach. The project will focus on reducing the overhead of resource scheduling and state management functions, revamping the way these functions are distributed across the stack. The ultimate objective is to minimize the CPU time wasted performing these functions, conversely maximizing the compute resources available to handle application logic. With the right innovation to overcome current obstacles, edge computing will enable new classes of applications that the current paradigm of utility computing in the Cloud is ill-suited for. These include applications that are highly sensitive to latency (e.g., 5G, situation-awareness applications, augmented reality, autonomous vehicles, and online gaming) or have heavy bandwidth demands (e.g., camera networks and video analytics). It is therefore expected that edge computing will follow the trajectory of Cloud computing and grow to a multi-billion-dollar industry within the next five to seven years. The project’s outcomes have the potential to transform the way modern societies operate and use this critically important and rapidly growing piece of internet infrastructure. The project aims to dramatically improve edge performance and cost efficiency, allowing providers to maximize the utility of scarce edge resources and developers to perform computationally demanding tasks that were previously infeasible. The research developed in this project will be integrated into undergraduate, graduate, and online courses.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.

边缘计算以区域或微型数据中心 (uDC) 的形式拉近资源与最终用户的距离，对从企业 IT 和通信到智能城市、制造和医疗保健等许多现代数字经济领域的发展发挥着重要作用。 ，边缘计算支持具有极低延迟和高带宽需求的新应用程序，因此，出于成本和性能方面的考虑，最大限度地利用有限的 uDC 资源至关重要。激励我们重温该项目将采用软件/硬件协同设计方法，重点关注减少资源调度和状态管理功能的开销，改进这些功能的分布方式。最终目标是最大限度地减少执行这些功能所浪费的 CPU 时间，同时最大限度地提高可用于处理应用程序逻辑的计算资源，通过正确的创新来克服当前的障碍，边缘计算将实现当前范式的新型应用程序。云中的效用计算不适合这些包括对延迟高度敏感的应用程序（例如 5G、态势感知应用程序、增强现实、自动驾驶汽车和在线游戏）或具有大量带宽需求（例如摄像头网络和视频分析）。边缘计算将遵循云计算的轨迹，并在未来五到七年内发展成为一个价值数十亿美元的产业，该项目的成果有可能改变现代社会运作和使用这一至关重要且快速增长的部分的方式。互联网的该项目旨在显着提高边缘性能和成本效率，使提供商能够最大限度地利用稀缺的边缘资源，并使开发人员能够执行以前无法实现的计算要求较高的任务。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Protego: Overload Control for Applications with Unpredictable Lock Contention.

Protego：具有不可预测锁争用的应用程序的过载控制。

• 发表时间: 2023-01
• 期刊: USENIX Symposium on Networked Systems Design and Implementation (NSDI
• 作者: Cho, Inho;Saeed, Ahmed;Park, Seo Jin;Alizadeh, Mohammad;and Belay, Adam
• 通讯作者: and Belay, Adam