CSR: Medium: Collaborative Research: GPL: General-Purpose Lambda Computing

CSR：媒介：协作研究：GPL：通用 Lambda 计算

• 批准号: 1763256
• 负责人: Keith Winstein
• 金额: $ 80万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1763256&HistoricalAwards=false
• 关键词: CSR; Medium; Collaborative; Research; GPL

The project will design ways for computer programs to do things in a few seconds that would ordinarily take hours, by borrowing thousands of computers at once. Until recently, this was not possible or economical: the companies that rent computers required minutes of advance notice, with a minimum bill of at least ten minutes. Recently, new technology called "function-as-a-service computing" allows people to rent thousands of unreliable computers at the same time with no advance notice, for fractions of a second. This project will design software, storage systems, and programming languages to use this technology robustly for large calculations.This research aims to deliver a new model of "burst parallel" applications and systems. This model takes advantage of new function-as-a-service offerings by cloud-computing providers such as Amazon, Microsoft, and Google. In this model, fine-grained "ephemeral lambdas" enable large-scale parallel computations at low cost. With careful attention to algorithm parallelization, we argue that many both old and new data processing tasks can be adapted into a model of functions that operate on small pieces of data, executed in a burst-parallel manner to achieve interactive performance demands, in a way that can be debugged, traced, and understood.This project intends to provide the application blueprint and systems foundation to enable end-users and developers to access massive amounts of parallelism on demand, while only paying for those resources actually consumed by an application. The researchers will engage with the developer community to ensure that others are able to use and build upon the work. In addition to integrating this research into course curricula, the researchers have a formalized program for embedding under-represented minority undergraduate students into their research groups.Software will be released under open-source software licenses pursuant to the policies of the University of California and Stanford University, and distributed through the project website and through traditional means of distribution of open-source software (e.g., GNU/Linux distributions, ports collections, app stores, etc.). Data, code, and evaluation results will continue to be hosted for at least three years after project completion at https://gplambda.github.io.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.

该项目将设计计算机程序在几秒钟内通过一次借入数千台计算机来完成工作的方法。直到最近，这是不可能的或经济的：租用计算机的公司需要提前通知会议记录，最低账单至少为十分钟。最近，新技术称为“函数 - 服务计算”，使人们可以同时租用数千台不可靠的计算机，而无需提前通知，即一秒钟。该项目将设计软件，存储系统和编程语言以鲁棒性用于大型计算。本研究旨在提供一种新的“爆发平行”应用程序和系统模型。该模型利用了云计算提供商（例如亚马逊，微软和Google）的新功能即服务。在此模型中，细粒度的“短暂的兰巴斯”以低成本实现大规模平行计算。 仔细注意算法并行化，我们认为，许多旧数据处理任务都可以改编成一个在少量数据上运行的功能模型，以突发的方式执行，以实现互动性能需求，以实现互动性能需求，以一种可以通过访问，跟踪和理解的方式来访问的端口和系统的预定。并行性按需，而仅支付应用程序实际消耗的这些资源。研究人员将与开发人员社区互动，以确保其他人能够使用并在工作基础上建立。除了将这项研究纳入课程课程外，研究人员还制定了一个正式的计划，可以将代表性不足的少数群体本科生嵌入其研究小组中。软件将在开放源代码软件许可下发布，根据加利福尼亚大学和斯坦福大学的政策，并通过该项目网站和传统的开放式软件（E.G. E.G. E.G.，G.E.G.），G.商店等）。在项目完成后至少三年内，数据，代码和评估结果将继续在https：//gplambda.github.io.io.io.io.io.io.io.i.奖中反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛的影响审查标准来评估值得通过评估的。

项目成果

Sidecar: in-network performance enhancements in the age of paranoid transport protocols

Sidecar：偏执传输协议时代的网络内性能增强

• DOI: 10.1145/3563766.3564113
• 发表时间: 2022
• 期刊: The Twenty-first ACM Workshop on Hot Topics in Networks (HotNets 2022
• 作者: Yuan, Gina;Zhang, David K.;Sotoudeh, Matthew;Welzl, Michael;Winstein, Keith
• 通讯作者: Winstein, Keith

From Laptop to Lambda: Outsourcing Everyday Jobs to Thousands of Transient Functional Containers

• 发表时间: 2019-07
• 作者: Sadjad Fouladi;Francisco Romero;Dan Iter;Qian Li;Shuvo Chatterjee;Christos Kozyrakis;M. Zaharia;Keith Winstein

Computation-centric networking

以计算为中心的网络

• DOI: 10.1145/3563766.3564106
• 发表时间: 2022
• 期刊: HotNets
• 作者: Deng, Yuhan;Montemayor, Angela;Levy, Amit;Winstein, Keith
• 通讯作者: Winstein, Keith

TACK: Improving Wireless Transport Performance by Taming Acknowledgments

• DOI: 10.1145/3387514.3405850
• 发表时间: 2020-07
• 期刊: Proceedings of the Annual conference of the ACM Special Interest Group on Data Communication on the applications, technologies, architectures, and protocols for computer communication
• 作者: Tong Li;Kai Zheng;Ke Xu;R. Jadhav;Tao Xiong;Keith Winstein;Kun Tan

R2E2: low-latency path tracing of terabyte-scale scenes using thousands of cloud CPUs

R2E2：使用数千个云CPU对TB级场景进行低延迟路径追踪

• DOI: 10.1145/3528223.3530171
• 发表时间: 2022
• 期刊: ACM Transactions on Graphics
• 影响因子: 6.2
• 作者: Fouladi, Sadjad;Shacklett, Brennan;Poms, Fait;Arora, Arjun;Ozdemir, Alex;Raghavan, Deepti;Hanrahan, Pat;Fatahalian, Kayvon;Winstein, Keith
• 通讯作者: Winstein, Keith