计算机科学
网络拥塞
计算机网络
以太网
数据中心
背景(考古学)
分布式计算
古生物学
生物
网络数据包
作者
Mohammad Alizadeh,Berk Atikoglu,Abdul Kabbani,Ashvin Lakshmikantha,Rong Pan,Balaji Prabhakar,Mick Seaman
标识
DOI:10.1109/allerton.2008.4797706
摘要
Data Center Networks present a novel, unique and rich environment for algorithm development and deployment. Projects are underway in the IEEE 802.1 standards body, especially in the Data Center Bridging Task Group, to define new switched Ethernet functions for data center use. One such project is IEEE 802.1Qau, the Congestion Notification project, whose aim is to develop an Ethernet congestion control algorithm for hardware implementation. A major contribution of this paper is the description and analysis of the congestion control algorithm - QCN, for Quantized Congestion Notification- which has been developed for this purpose. A second contribution of the paper is an articulation of the Averaging Principle: a simple method for making congestion control loops stable in the face of increasing lags. This contrasts with two well-known methods of stabilizing control loops as lags increase; namely, (i) increasing the order of the system by sensing and feeding back higher-order derivatives of the state, and (ii) determining the lag and then choosing appropriate loop gains. Both methods have been applied in the congestion control literature to obtain stable algorithms for high bandwidth-delay product paths in the Internet. However, these methods are either undesirable or infeasible in the Ethernet context. The Averaging Principle provides a simple alternative, one which we are able to theoretically characterize.
科研通智能强力驱动
Strongly Powered by AbleSci AI