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: 2321723
• 负责人: Wyatt Lloyd
• 金额: $ 166.95万
• 依托单位: Princeton 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: 2023-10-01 至 2028-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2321723&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快。逻辑遍及客户端设备，边缘计算位置和多个云。无线无缝到达任何地方的数据； 3）与缓存合作的数据存储，以确保应用程序一致性，4）其他层决定运行计算和移动数据数据，以优化性能，可用性，成本和能量设计层的开发将利用六个调查人员的多种合作，这是人们生活的含义单身人士的潜伏期将改善所有人的经验：在农村社区中的用户和其他互联网连接不佳的地点的用户有可能的影响。所有这些。使用Toundatual功绩和ER的评估影响审查标准。