Collaborative Research: CISE: Large: Systems Support for Run-Anywhere Serverless

协作研究：CISE：大型：对 Run-Anywhere Serverless 的系统支持

• 批准号: 2321725
• 负责人: Shuai Mu
• 金额: $ 83.32万
• 依托单位: SUNY at Stony Brook
• 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: 2023-10-01 至 2028-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2321725&HistoricalAwards=false
• 关键词: Collaborative; Research; CISE; Large; Systems

Computing resources are more abundant and more distributed than ever before. In principle, this abundance of compute and storage should allow applications to run faster, cheaper, and more energy efficiently. Yet applications that do so are few and far between, and usually belong to one of the very few large tech organizations. This project aims to democratize access to the full space of computing resources by enabling, and then optimizing, correct and safe execution of application logic anywhere: across client devices, edge computing locations, and multiple clouds. To realize the project’s execute-anywhere vision it will be necessary to develop a new co-design for four layers of system support: 1) a runtime that can execute applications anywhere; 2) an abundance of caches that enable seamless access to data anywhere; 3) a data store that collaborates with caches to ensure application consistency and data durability; and 4) a scheduler that integrates information from the other layers to decide where to run computations and move data in order optimize performance, availability, cost, and energy.The development of these co-designed layers will leverage the diverse expertise of the six investigators in close collaboration. Its development has the potential to improve the online applications that are an integral part of people’s lives. The project should make automatic optimization of an application’s latency, cost, bandwidth usage, and energy efficiency accessible to many applications, even those developed by a single person. The optimization of an application’s latency will improve the experience of all users with an especially large effect on users in rural communities and other locations with poor Internet connectivity. Further, it has the potential to make the full use and optimization of compute and data resources ubiquitous and available to all. In addition, it will advance discovery and broaden participation by involving undergraduates from the investigators’ universities and especially institutions that serve under-represented groups in research experiences, training graduate students, and broadening undergraduate participation in Computer Science.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.

计算资源比以往任何时候都更丰富，更分布。原则上，计算和存储的抽象应允许应用程序运行速度更快，更便宜，更有效地运行。但是这样做的应用程序很少，而且通常属于极少数大型技术组织之一。该项目旨在通过启用，然后优化，正确且安全地执行应用程序逻辑的任何地方：跨客户端设备，边缘计算位置和多个云来民主化访问计算资源的全部空间。要实现项目的执行愿景，有必要为系统支持四层支持开发新的共同设计：1）可以在任何地方执行应用程序的运行时； 2）缓存的抽象，可以无缝访问任何地方的数据； 3）与缓存合作的数据存储，以确保应用程序的一致性和数据耐用性； 4）调度程序将来自其他层的信息集成以决定运行计算的何处并移动数据以优化性能，可用性，成本和能源。这些共同设计的层的开发将利用六位调查人员在密切协作中的不同专业知识。它的发展有可能改善在线应用程序，这是人们生活中不可或缺的一部分。该项目应自动优化应用程序的延迟，成本，带宽使用情况以及许多应用程序，即使是一个人开发的应用程序也可以访问。应用程序延迟的优化将改善所有用户的体验，对互联网连接不良的粗糙社区和其他位置的用户特别影响。此外，它有潜力使计算和数据资源无处不在，并且所有人都可以使用。此外，它将通过参与研究人员的大学，尤其是在研究经验，培训研究生培训本科生以及计算机科学的本科参与的本科群体中尤其是机构来提高发现和扩大参与。这项奖项反映了NSF的法定任务，反映了通过使用基金会的评估来支持NSF的法定任务，并受到了基金会的评估。