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CNS Core: Medium: The Synchronous Data Center

CNS 核心：媒介：同步数据中心

基本信息

批准号：
1955670
负责人：
Andreas Haeberlen
金额：
$ 120万
依托单位：
University of Pennsylvania
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-10-01 至 2024-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1955670&HistoricalAwards=false
关键词：
CNS Core Medium Synchronous Data

项目摘要

Most major web services - such as Amazon, Google, or Facebook - employ massive data centers that can each contain hundreds of thousands of computers. Today, these data centers are almost always built using an asynchronous design, with few or no assumptions about how long it might take for two computers to communicate, or when exactly a computer might be able to complete a given task. The 'asynchronous design' has been the standard since the very beginning of distributed computing; it is the one that is taught in textbooks, and it is rarely questioned. However, the design is not as simple as it may at first appear: in practice it often leads to low efficiency, unpredictable timing, and many other serious problems. This project proposes a radical new solution--synchronous networks-- that intrinsically eliminate these problems. At a high level, this approach involves creating a detailed choreography that describes what each computer should do and when. While synchronous designs can be more complex, they also come with considerable potential benefits, including higher efficiency, better predictability, and support for new kinds of services. In addition, they can potentially sidestep some of the most difficult problems with asynchronous designs. This project will develop the management architecture and necessary algorithms and other components for this new model and explore its performance in a network testbed and through simulation. The project is leveraging insights from cyber-physical systems, which have been using synchronous designs for decades, albeit at much smaller scales and in a very different environment. It is developing 1) a prototype of a new, fully synchronous computing platform; 2) new, scalable coordination mechanisms and scheduling techniques; and 3) a set of synchronous building blocks for applications. The project is using web search as a case study to demonstrate the end-to-end benefits of the synchronous approach.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.

大多数主要的网络服务--如亚马逊、谷歌或Facebook --都采用了庞大的数据中心，每个数据中心都可以包含数十万台计算机。今天，这些数据中心几乎总是使用异步设计构建的，很少或根本没有假设两台计算机通信需要多长时间，或者计算机何时能够完成给定的任务。 “异步设计”从分布式计算的一开始就一直是标准;它是教科书中教授的内容，很少受到质疑。然而，这种设计并不像它最初看起来那么简单：在实践中，它经常导致效率低下，不可预测的时间，以及许多其他严重的问题。这个项目提出了一个全新的解决方案-同步网络-从本质上消除了这些问题。在高层次上，这种方法涉及创建详细的编排，描述每台计算机应该做什么以及何时做。虽然同步设计可能更加复杂，但它们也具有相当大的潜在好处，包括更高的效率、更好的可预测性和对新服务类型的支持。此外，它们可以潜在地避开异步设计中一些最困难的问题。该项目将为这种新模型开发管理架构和必要的算法以及其他组件，并通过网络测试床和模拟来探索其性能。该项目利用了来自网络物理系统的见解，这些系统几十年来一直使用同步设计，尽管规模要小得多，环境也截然不同。它正在开发1）一个新的，完全同步的计算平台的原型; 2）新的，可扩展的协调机制和调度技术;和3）一组同步应用程序的构建块。该项目使用网络搜索作为案例研究，以展示同步方法的端到端好处。该奖项反映了NSF的法定使命，并通过使用基金会的知识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

期刊论文数量（6）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Do Not Overpay for Fault Tolerance!

DOI：
10.1109/rtas52030.2021.00037
发表时间：
2021-05
期刊：
2021 IEEE 27th Real-Time and Embedded Technology and Applications Symposium (RTAS)
影响因子：
0
作者：
Edo Roth;Andreas Haeberlen
通讯作者：
Edo Roth;Andreas Haeberlen

PCSPOOF: Compromising the Safety of Time-Triggered Ethernet

DOI：
10.1109/sp46215.2023.10179318
发表时间：
2023-05
期刊：
2023 IEEE Symposium on Security and Privacy (SP)
影响因子：
0
作者：
A. Loveless;L. T. Phan;R. Dreslinski;Baris Kasikci
通讯作者：
A. Loveless;L. T. Phan;R. Dreslinski;Baris Kasikci

Multi-mode on Multi-core: Making the best of both worlds with Omni

多核上的多模式：利用 Omni 实现两全其美

DOI：
10.1109/rtss55097.2022.00020
发表时间：
2022
期刊：
2022 IEEE Real-Time Systems Symposium (RTSS
影响因子：
0
作者：
Gifford, Robert;Phan, Linh Thi
通讯作者：
Phan, Linh Thi

REBOUND: defending distributed systems against attacks with bounded-time recovery

DOI：
10.1145/3447786.3456257
发表时间：
2021-04
期刊：
Proceedings of the Sixteenth European Conference on Computer Systems
影响因子：
0
作者：
N. Gandhi;Edo Roth;Brian Sandler;Andreas Haeberlen;L. T. Phan
通讯作者：
N. Gandhi;Edo Roth;Brian Sandler;Andreas Haeberlen;L. T. Phan

DNA: Dynamic Resource Allocation for Soft Real-Time Multicore Systems

DNA：软实时多核系统的动态资源分配

DOI：
10.1109/rtas52030.2021.00024
发表时间：
2021
期刊：
Proceedings of the 27th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS '21
影响因子：
0
作者：
Gifford, Robert;Gandhi, Neeraj;Phan, Linh Thi;Haeberlen, Andreas
通讯作者：
Haeberlen, Andreas