SEATTLE: A Scalable Ethernet Architecture for Large Enterprises

被引:14
作者
Kim, Changhoon [3 ]
Caesar, Matthew [1 ]
Rexford, Jennifer [2 ]
机构
[1] Univ Illinois, Dept Comp Sci, Urbana, IL 61801 USA
[2] Princeton Univ, Dept Comp Sci, Princeton, NJ 08540 USA
[3] Microsoft Corp, Redmond, WA 98052 USA
来源
ACM TRANSACTIONS ON COMPUTER SYSTEMS | 2011年 / 29卷 / 01期
关键词
Design; Experimentation; Management; Enterprise network; data-center network; routing; scalability; ethernet;
D O I
10.1145/1925109.1925110
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
IP networks today require massive effort to configure and manage. Ethernet is vastly simpler to manage, but does not scale beyond small local area networks. This article describes an alternative network architecture called SEATTLE that achieves the best of both worlds: The scalability of IP combined with the simplicity of Ethernet. SEATTLE provides plug-and-play functionality via flat addressing, while ensuring scalability and efficiency through shortest-path routing and hash-based resolution of host information. In contrast to previous work on identity-based routing, SEATTLE ensures path predictability, controllability, and stability, thus simplifying key network-management operations, such as capacity planning, traffic engineering, and troubleshooting. We performed a simulation study driven by real-world traffic traces and network topologies, and used Emulab to evaluate a prototype of our design based on the Click and XORP open-source routing platforms. Our experiments show that SEATTLE efficiently handles network failures and host mobility, while reducing control overhead and state requirements by roughly two orders of magnitude compared with Ethernet bridging.
引用
收藏
页数:35
相关论文
共 56 条
[1]  
ADJIEWINOTO W, 1999, P ACM S OP SYST PRIN
[2]  
AIELLO W, 2005, P S PASS ACT MEAS
[3]  
ALLMAN M, 2007, P S INT MEAS C
[4]  
[Anonymous], 2009, The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines
[5]  
Arregoces M., 2003, DATA CTR FUNDAMENTAL
[6]  
CAESAR M, 2006, P ACM SIGCOMM
[7]  
*CAIDA, 2010, CAIDA TOOLS MEAS SKI
[8]  
CASADO M, 2009, IEEE ACM T NETWORK
[9]  
DABEK F, 2001, P ACM S OP SYST PRIN
[10]  
DEAN J, 2004, P OP SYST DES IMPL