NetSE: Small: Network Memory for the Future Internet

NetSE：小型：未来互联网的网络内存

• 批准号: 1017234
• 负责人: Raghupathy Sivakumar
• 金额: $ 49.76万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1017234&HistoricalAwards=false
• 关键词: NetSE; Small; Network; Memory; Future

Several studies including those by the PIs have inferred the presence of considerable amounts of redundancy in Internet traffic content (ranging up to 99%). These studies clearly establish the tremendous scope for enhancing communication performance through appropriate exploitation of the redundancies. In this research, the investigators study and develop a network memory solution for the future Internet. Network memory, in its simplest form, involves a memory at every network element that allows store/retrieve operations. The store operation is used when a particular data flows through the element for the first time. The retrieve operation is used when the same data needs to be retrieved from that element at a later point. The primary goal of using such a network memory is to minimize or eliminate any redundant traffic when delivering any content from its server to any client, and hence, reducing the bandwidth requirements. Intellectual Merit: The underlying fabric of the Internet consisting of the content Servers, routers, and clients perform very little, if any, memorization and hence re-use of the memorized content. The focus of this research is to rethink this aspect of the Internet for the design of the future Internet architecture. The investigators introduce network memory as a new layer 3.5 for the future Internet, residing beneath the transport layer and above the network layer. The overall benefits of using network memory are better network delivery performance and higher network utilization levels through the exploitation of redundancies. Previous techniques such as web-caching, CDNs, and P2P applications, while in principle try to leverage redundancy, either do not harness the redundancy available or are too narrow in their scope to even attempt leveraging redundancies along the various (temporal and spatial) dimensions. A subset of the questions that the investigators plan to address through the work includes: 1. What is the granularity at which data should be memorized in the network memory? Should it be sub-packet, packet-level, or even super-packet level granularity? 2. Who are the participants in the network memory? Is it the clients, content-servers, or routers, or perhaps all of them? 3. How does the network memory work? How is the memory location determined for any given data? How is addressing of the network memory performed? 4. Should the network memory support sophisticated operations beyond just store and retrieve? The investigators will also explore fundamental issues with the network memory such as the nature of traffic redundancies and the concept of network compression. Finally, the research will address several key systems issues pertaining to the network memory including overheads of realization, protocol and header formats, and impact on other Internet protocols. Broader Impact: In addition to graduate and undergraduate training opportunities, the research will be aimed at the standardization and technology transfer for the network-memory-layer solutions. The broader impact also includes: (a) Undergraduate curriculum development through senior undergraduate classes taught by the PIs, (b) Graduate curriculum development through two graduate-level classes on networking and information theory taught by the PIs, (c) Support for minority students.

包括PI在内的几项研究推断，互联网流量内容中存在大量冗余（高达99%）。这些研究清楚地确定了通过适当利用冗余来提高沟通绩效的巨大空间。 在本研究中，研究人员研究并开发了一种面向未来互联网的网络存储解决方案。网络存储器，在其最简单的形式中，涉及允许存储/检索操作的每个网络元件处的存储器。当特定数据第一次流经元素时，使用存储操作。当稍后需要从该元素中检索相同的数据时，将使用检索操作。使用这种网络存储器的主要目标是在将任何内容从其服务器传送到任何客户端时最小化或消除任何冗余流量，从而降低带宽要求。智力优势：由内容服务器、路由器和客户端组成的互联网的底层结构执行很少的记忆，因此重复使用所记忆的内容。本研究的重点是重新思考这方面的互联网的设计未来的互联网架构。研究人员将网络内存作为未来互联网的新层3.5引入，位于传输层之下，网络层之上。使用网络内存的总体好处是更好的网络传输性能和更高的网络利用率水平，通过利用冗余。先前的技术（诸如web缓存、CDN和P2P应用）虽然原则上尝试利用冗余，但是或者不利用可用的冗余，或者在它们的范围中太窄，甚至不能尝试利用沿着各种（时间和空间）维度的冗余。调查人员计划通过工作解决的问题子集包括：1。数据存储在网络内存中的粒度是多少？它应该是子数据包、数据包级别，还是超级数据包级别的粒度？2.网络记忆的参与者是谁？是客户端、内容服务器、路由器，还是所有这些？3.网络内存是如何工作的？如何为任何给定的数据确定内存位置？如何对网络内存进行寻址？4.除了存储和检索，网络内存还应该支持复杂的操作吗？研究人员还将探索网络内存的基本问题，如流量冗余的性质和网络压缩的概念。最后，研究将解决几个关键的系统问题，涉及到网络存储器，包括实现的开销，协议和报头格式，以及对其他互联网协议的影响。更广泛的影响：除了研究生和本科生的培训机会，研究将针对网络存储层解决方案的标准化和技术转让。更广泛的影响还包括：（a）通过由项目研究员教授的高年级本科生课程，开发本科生课程;（B）通过由项目研究员教授的两个研究生级别的网络和信息理论课程，开发研究生课程;（c）支持少数民族学生。