CAREER: OS-Managed Remote Procedure Call for Datacenter Applications

职业：针对数据中心应用程序的操作系统管理的远程过程调用

• 批准号: 2238665
• 负责人: Danyang Zhuo
• 金额: $ 60万
• 依托单位: Duke University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-06-01 至 2028-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2238665&HistoricalAwards=false
• 关键词: CAREER; OS; Managed; Remote; Procedure

Remote procedure call (RPC) allows developers to build networked applications using a simple and familiar programming model, and it has become a fundamental building block for cloud applications today. Increasingly, application and service operations teams need a high degree of visibility and control over the flow of RPCs, including monitoring specific types of RPCs, and rate limiting to meet application-specific performance goals. This project aims to explore a new RPC system architecture that allows for efficient and flexible control of RPC traffic.The key insight is to rearchitect RPC as a managed service, decoupling RPC logic from individual applications. Applications specify type information to the RPC service, and the RPC service executes RPC policies and arbitrates resource use, and then marshals data customized to the underlying network hardware capabilities. The project entails four thrusts: (1) a safe cross-domain RPC memory management design, (2) a system design for efficient RPC policy support, (3) a system design for RPC live upgradability, and (4) techniques to use remote direct memory access hardware effectively in RPC.The new RPC architecture will improve the performance and manageability of cloud applications and reduce the cost of operating cloud applications. This project will develop new educational tools, including programming assignments and an RPC visualizer, to introduce a broader community of students to the standard practices of using RPC to construct distributed applications. This project will serve as a platform to engage undergraduate students in networking research, especially women and students from historically underrepresented groups.Software artifacts, papers, benchmarks, and tutorials developed as part of this project will be released on the following website https://mrpc.cs.duke.edu. This website will be regularly maintained for the next ten years.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.

远程过程调用（RPC）允许开发人员使用简单且熟悉的编程模型构建网络应用程序，并且它已成为当今云应用程序的基本构建块。应用程序和服务操作团队越来越多地需要高度的可见性和控制RPC的流动，包括监视特定类型的RPC，以及限制速率以实现特定应用程序的性能目标。该项目旨在探索一种新的RPC系统体系结构，该体系结构允许对RPC流量进行有效且灵活的控制。关键见解是将RPC作为托管服务进行Rearchitect RPC，将RPC逻辑与各个应用程序解耦。应用程序将类型信息指定到RPC服务，RPC服务执行RPC策略并仲裁资源使用，然后对基础网络硬件功能进行定制的元帅数据。 The project entails four thrusts: (1) a safe cross-domain RPC memory management design, (2) a system design for efficient RPC policy support, (3) a system design for RPC live upgradability, and (4) techniques to use remote direct memory access hardware effectively in RPC.The new RPC architecture will improve the performance and manageability of cloud applications and reduce the cost of operating cloud applications.该项目将开发新的教育工具，包括编程任务和RPC可视化器，向更广泛的学生介绍使用RPC构建分布式应用程序的标准实践。该项目将成为一个平台，使本科生参与网络研究，尤其是来自历史不足的小组的妇女和学生。软件工件，论文，基准和教程作为该项目的一部分开发的，将在以下网站上发布https://mrpc.cs.duke.edu。该网站将定期维护未来十年。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响标准，被认为值得通过评估获得支持。