NeTS: Medium: Collaborative Research: Optimizing Network Support for Cloud Services: From Short-Term Measurements to Long-Term Planning

NeTS:中:协作研究:优化云服务的网络支持:从短期测量到长期规划

基本信息

  • 批准号:
    1162088
  • 负责人:
  • 金额:
    $ 57.5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2012
  • 资助国家:
    美国
  • 起止时间:
    2012-05-01 至 2012-10-31
  • 项目状态:
    已结题

项目摘要

Online Service Providers (OSPs) host a wide range of application services, including email, Web search, video streaming, and multiplayer games, on servers in data centers all over the world. Each service has specific performance requirements. For example, Web search and multiplayer games need low latency, whereas video streaming and bulk file transfers need high throughput. Clients access these services from a wide variety of geographic locations over access networks with wildly different performance. Offering good performance to these diverse clients at a reasonable cost is the life blood of any OSP.OSPs affect client performance by controlling content routing (selecting which data center should serve a client request) and network routing (selecting interdomain paths to clients, or paths within the OSP's own backbone), and by longer-term planning of future data centers and relationships with upstream ISPs. Unfortunately, OSPs have relatively poor visibility into end-to-end performance and do not adapt both content and network routing to maximize performance; in addition, OSP operators lack good models for deciding where to place the next server or data center, or which ISPs to select as neighbors.To address the wide-area networking needs of online services, this project is designing, implementing, deploying, and evaluating practical techniques that allow OSPs to perform content and network routing (and make longer-term placement decisions), based on timely and accurate information about end-to-end performance and transit costs. The project is developing techniques to help OSP operators measure, control, and plan the wide-area connectivity between distributed services and their clients, and between the servers themselves. The project tasks include: (1) designing performance-measurement techniques and conduct measurement-driven studies of OSP traffic management; (2) designing, modeling, and prototyping protocols for joint optimization of content and network routing, and traffic management within an OSP backbone; and (3) driving long-term planning of server placement and ISP peer selection based on models of transit costs.To evaluate our algorithms together, and ?in the wild?, the project will use experimental platforms for network monitoring (BISmark, M-Lab, and, where available, measurement servers in ISP backbone networks), content and network routing (DONAR and Transit Portal), cloud computing (VICCI), and programmable networking (OpenFlow). Broader Impact:The PIs are working with industry to evaluate and deploy the solutions on operational networks. They will also continue their close collaboration on graduate networking curriculum development to include the research topics and experimental platforms in this project. As part of the project outreach, the PIs are organizing ?summer camps? (drawing on their earlier experiences with summer camps for the VINI and BISmark projects) to bring under-represented students to their institutions for summer internships. The PIs will also work with under-represented regions and institutions to deploy their infrastructure and engage faculty and students in research projects using the platforms.
在线服务提供商 (OSP) 在世界各地数据中心的服务器上托管广泛的应用程序服务,包括电子邮件、网络搜索、视频流和多人游戏。 每项服务都有特定的性能要求。 例如,网络搜索和多人游戏需要低延迟,而视频流和批量文件传输则需要高吞吐量。 客户端通过性能差异很大的接入网络从不同的地理位置访问这些服务。 以合理的成本为这些不同的客户端提供良好的性能是任何 OSP 的命脉。OSP 通过控制内容路由(选择哪个数据中心应服务客户端请求)和网络路由(选择到客户端的域间路径或 OSP 自己的主干内的路径)以及通过对未来数据中心和与上游 ISP 的关系的长期规划来影响客户端性能。不幸的是,OSP 对端到端性能的可见性相对较差,并且无法调整内容和网络路由以最大限度地提高性能;此外,OSP运营商缺乏良好的模型来决定在哪里放置下一个服务器或数据中心,或者选择哪些ISP作为邻居。为了满足在线服务的广域网需求,该项目正在设计、实施、部署和评估实用技术,使OSP能够基于有关端到端性能和传输成本的及时而准确的信息来执行内容和网络路由(并做出长期放置决策)。 该项目正在开发技术来帮助 OSP 运营商测量、控制和规划分布式服务与其客户端之间以及服务器本身之间的广域连接。 项目任务包括:(1)设计性能测量技术并进行OSP流量管理的测量驱动研究; (2) 设计、建模和原型化协议,以联合优化 OSP 主干内的内容和网络路由以及流量管理; (3) 根据传输成本模型推动服务器部署和 ISP 对等点选择的长期规划。为了共同评估我们的算法,以及“在野外”,该项目将使用实验平台进行网络监控(BISmark、M-Lab 以及 ISP 主干网络中可用的测量服务器)、内容和网络路由(DONAR 和 Transit Portal)、云计算 (VICCI) 和可编程网络 (开放流)。 更广泛的影响:PI 正在与业界合作,在运营网络上评估和部署解决方案。 他们还将继续在研究生网络课程开发方面密切合作,将研究主题和实验平台纳入该项目。 作为项目推广的一部分,PI 正在组织“夏令营”。 (借鉴他们早期举办 VINI 和 BISmark 项目夏令营的经验)将代表性不足的学生带到他们的机构进行暑期实习。 PI 还将与代表性不足的地区和机构合作,部署其基础设施,并让教师和学生利用这些平台参与研究项目。

项目成果

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Nicholas Feamster其他文献

Nicholas Feamster的其他文献

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{{ truncateString('Nicholas Feamster', 18)}}的其他基金

Collaborative Research: IMR: MM-1A: Measuring Internet Access Networks Across Space and Time
合作研究:IMR:MM-1A:跨空间和时间测量互联网接入网络
  • 批准号:
    2319603
  • 财政年份:
    2023
  • 资助金额:
    $ 57.5万
  • 项目类别:
    Continuing Grant
SaTC: CORE: Small: Understanding Practical Deployment Considerations for Decentralized, Encrypted DNS
SaTC:核心:小型:了解去中心化加密 DNS 的实际部署注意事项
  • 批准号:
    2155128
  • 财政年份:
    2022
  • 资助金额:
    $ 57.5万
  • 项目类别:
    Standard Grant
IMR: MT: A Community Platform for Controlled Experiments on Internet Access Networks
IMR:MT:互联网接入网络受控实验的社区平台
  • 批准号:
    2223610
  • 财政年份:
    2022
  • 资助金额:
    $ 57.5万
  • 项目类别:
    Standard Grant
Collaborative Research: CISE-ANR: CNS Core: Small: Modeling Modern Network Traffic: From Data Representation to Automated Machine Learning
合作研究:CISE-ANR:CNS 核心:小型:现代网络流量建模:从数据表示到自动化机器学习
  • 批准号:
    2124393
  • 财政年份:
    2021
  • 资助金额:
    $ 57.5万
  • 项目类别:
    Standard Grant
EAGER: SaTC-EDU: Training Mid-Career Security Professionals in Machine Learning and Data-Driven Cybersecurity
EAGER:SaTC-EDU:在机器学习和数据驱动的网络安全方面培训职业中期安全专业人员
  • 批准号:
    2041970
  • 财政年份:
    2020
  • 资助金额:
    $ 57.5万
  • 项目类别:
    Standard Grant
RAPID: Measuring the Effects of the COVID-19 Pandemic on Broadband Access Networks to Inform Robust Network Design
RAPID:测量 COVID-19 大流行对宽带接入网络的影响,为稳健的网络设计提供信息
  • 批准号:
    2028145
  • 财政年份:
    2020
  • 资助金额:
    $ 57.5万
  • 项目类别:
    Standard Grant
CPS: Medium: Detecting and Controlling Unwanted Data Flows in the Internet of Things
CPS:中:检测和控制物联网中不需要的数据流
  • 批准号:
    1953740
  • 财政年份:
    2019
  • 资助金额:
    $ 57.5万
  • 项目类别:
    Cooperative Agreement
TWC: TTP Option: Large: Collaborative: Towards a Science of Censorship Resistance
TWC:TTP 选项:大:协作:走向审查制度抵抗的科学
  • 批准号:
    1953513
  • 财政年份:
    2019
  • 资助金额:
    $ 57.5万
  • 项目类别:
    Continuing Grant
Workshop on Self-Driving Networks
自动驾驶网络研讨会
  • 批准号:
    1953515
  • 财政年份:
    2019
  • 资助金额:
    $ 57.5万
  • 项目类别:
    Standard Grant
CPS: Medium: Detecting and Controlling Unwanted Data Flows in the Internet of Things
CPS:中:检测和控制物联网中不需要的数据流
  • 批准号:
    1739809
  • 财政年份:
    2018
  • 资助金额:
    $ 57.5万
  • 项目类别:
    Cooperative Agreement

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合作研究:NeTS:媒介:EdgeRIC:为下一代蜂窝无线接入网络提供实时智能控制和优化
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合作研究:NeTS:Medium:基于 NextG 的高性能、智能和安全 O-RAN 的集成多时间尺度方法
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