NeTS: Small: Participatory Software Defined Networking
NeTS:小型:参与式软件定义网络
基本信息
- 批准号:1320397
- 负责人:
- 金额:$ 40万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2013
- 资助国家:美国
- 起止时间:2013-10-01 至 2017-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Network configuration and management today is a complex and error-prone task, done by expert administrators, who implement policies as a brittle composition of independent control rules on heterogeneous devices. Networks become stifled, as changes to configuration have hard-to-predict consequences in the resulting policies. At the same time, there is pressure in the opposite direction for more dynamic networks, as increasingly distributed applications can benefit from network flexibility, and actually have information about the semantics of their traffic that can inform network configuration. The goal of this project is to enable end-user applications to take active part in the configuration, provisioning, and management of the network, and, in turn, have more visibility into the network state to better reconfigure themselves. The proposed approach, Participatory Software Defined Networking, aims to be a unifying and extensible framework to expose network control mechanisms and state to end-user applications. It leverages the emerging paradigm of Software Defined Networking, with its logically centralized and programmable control plane, and, in an analogy to Operating Systems, provides the "user-level system calls to the network". Applications request current and future service properties, gain visibility into network properties, and provide hints about future demands to the network. The research will combine programming languages techniques to define the semantics of policy and query language and compilation, with systems design and experiments on a real programmable network testbed, guided by real applications.Intellectual Merit: The contributions of this project are to expose the control plane of the network to end-user applications through a unifying and extensible framework, to solve the challenges to make this safe and efficient, and ultimately to allow for radical joint optimization of applications and the network. More specifically, this work will: (1) define the semantics for the delegation of privileges necessary for the safe exposure of the control plane to end-user applications. (2) define a high level hierarchical representation of policies, with flexible semantics for policy composition from different users, across several network resources. (3) produce a sound compilation strategy from the high level combined policies to efficient sets of distributed rules on switches and (4) propose and evaluate the joint optimization of applications and the network given the flexibilities and requirements of the former, and the constraints and load of the latter.Broader Impacts: The results of the proposed research will be broadly applicable to regular network users, with direct, tangible benefits in efficiency, security, sharing, and ease of use of the networking infrastructure. Participatory networking will enable home users (or their applications, on the users' behalf), to effectively configure the network according to intuitive policies. Network queries can provide the foundation for a ubiquitous "weather service" for networks, which can have positive effects on user expectations. Heavy users on campus networks, such as physicists, will be able to safely share the network without the need for physically separate networks. Enterprise users will be able to install firewall rules deeper in the network without requiring human intervention. Co-optimization of applications and datacenter networks will enable significantly more efficient large-scale data processing, helping advance science and business at large. The PI will integrate undergraduate students in the research, and will create a course on Advanced Networking focused on SDNs and in datacenters. He will continue to speak about networking and the Internet to the 9th-grade girls at the NSF-sponsored Artemis program.
如今,网络配置和管理是一项复杂且容易出错的任务,由专家管理员完成,他们在异类设备上将策略作为独立控制规则的脆弱组合来实施。网络变得令人窒息,因为对配置的更改在由此产生的策略中会产生难以预测的后果。与此同时,随着越来越多的分布式应用程序可以从网络灵活性中受益,并且实际上拥有有关其流量的语义的信息,可以告知网络配置,因此对更动态的网络存在相反的压力。该项目的目标是使最终用户应用程序能够积极参与网络的配置、调配和管理,进而对网络状态有更多的了解,从而更好地重新配置自身。建议的方法是参与式软件定义网络,旨在成为一个统一和可扩展的框架,向最终用户应用程序公开网络控制机制和状态。它利用软件定义网络的新兴范例,以及其逻辑上集中和可编程的控制平面,并在类似于操作系统的情况下,提供“对网络的用户级系统调用”。应用程序请求当前和未来的服务属性,获得对网络属性的可见性,并提供有关网络未来需求的提示。该研究将结合编程语言技术来定义策略、查询语言和编译的语义,并在真实的可编程网络试验台上进行系统设计和实验,以实际应用为指导。智力上的价值:该项目的贡献是通过一个统一和可扩展的框架将网络的控制平面暴露给最终用户应用,解决安全和高效的挑战,并最终允许从根本上联合优化应用和网络。更具体地说,这项工作将:(1)定义将控制平面安全暴露给最终用户应用程序所需的权限委派的语义。(2)定义策略的高级层次表示,为跨多个网络资源的不同用户的策略合成提供灵活的语义。(3)从高层组合策略到高效的分布式交换机规则集产生合理的编译策略;(4)针对应用和网络的灵活性和要求以及后者的约束和负载,提出并评估应用和网络的联合优化。广泛影响:所提出的研究结果将广泛适用于常规网络用户,在网络基础设施的效率、安全性、共享性和易用性方面具有直接的、有形的好处。参与式网络将使家庭用户(或其代表用户的应用程序)能够根据直观的策略有效地配置网络。网络查询可以为网络无处不在的“天气服务”提供基础,这可以对用户的期望产生积极的影响。校园网络上的繁重用户,如物理学家,将能够安全地共享网络,而不需要物理上独立的网络。企业用户将能够在网络中更深入地安装防火墙规则,而无需人工干预。应用程序和数据中心网络的共同优化将显著提高大规模数据处理的效率,有助于推动整个科学和商业的发展。PI将把本科生纳入研究,并将开设一门以SDN和数据中心为重点的高级网络课程。他将继续在NSF赞助的Artemis项目中向9年级的女孩们讲述网络和互联网。
项目成果
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Rodrigo Fonseca其他文献
Hyaluronic Acid for Skin Booster on the Face
透明质酸可促进面部肌肤
- DOI:
10.1007/978-3-319-16802-9_23 - 发表时间:
2018 - 期刊:
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S. Ypiranga;Rodrigo Fonseca - 通讯作者:
Rodrigo Fonseca
TIPSY: predicting where traffic will ingress a WAN
TIPSY:预测流量将进入 WAN 的位置
- DOI:
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2022 - 期刊:
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Michael Markovitch;S. Agarwal;Rodrigo Fonseca;Ryan Beckett;Chuanji Zhang;I. Atov;Somesh Chaturmohta - 通讯作者:
Somesh Chaturmohta
Safety Profiles of Bispecific Antibodies in Non-Hodgkin Lymphoma: A Meta-Analysis of Phase I-III Trials
- DOI:
10.1016/s2152-2650(24)00843-7 - 发表时间:
2024-09-01 - 期刊:
- 影响因子:
- 作者:
Rodrigo Fonseca;Alex Liu;Blake Langlais;Diana Almader-Douglas;Holenarasipur Vikram;Talal Hilal - 通讯作者:
Talal Hilal
Echocardiographic Evaluation of Left and Right Ventricular Function in Subclinical Hypothyroidism
超声心动图评估亚临床甲状腺功能减退症的左右心室功能
- DOI:
- 发表时间:
2009 - 期刊:
- 影响因子:0
- 作者:
Dr. P. F. S. Teixeira;Rodrigo Fonseca;M. Ferreira;M. M. Duarte;V. Reuters;C. Almeida;M. Vaisman;A. liations - 通讯作者:
A. liations
Datacenter Network Large Flow Detection and Scheduling from the Edge Rui ( Ray )
从边缘进行数据中心网络大流量检测与调度 Rui(Ray)
- DOI:
- 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
Rodrigo Fonseca - 通讯作者:
Rodrigo Fonseca
Rodrigo Fonseca的其他文献
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{{ truncateString('Rodrigo Fonseca', 18)}}的其他基金
CAREER: Understanding the Performance of Distributed Systems through Causal Tracing
职业:通过因果追踪了解分布式系统的性能
- 批准号:
1452712 - 财政年份:2015
- 资助金额:
$ 40万 - 项目类别:
Continuing Grant
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