Floodless in seattle

Author:

Kim Changhoon1,Caesar Matthew2,Rexford Jennifer1

Affiliation:

1. Princeton University, Princeton, USA

2. University of Illinois at Urbana-Champaign, Urbana-Champaign, USA

Abstract

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 paper 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 and stability, and simplifies network management. 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.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Software

Reference38 articles.

1. S. Halabi Metro Ethernet. Cisco Press 2003. S. Halabi Metro Ethernet. Cisco Press 2003.

2. A. Gupta B. Liskov and R. Rodrigues "Efficient routing for peer-to-peer overlays " in NSDI March 2004. A. Gupta B. Liskov and R. Rodrigues "Efficient routing for peer-to-peer overlays " in NSDI March 2004.

3. W. Aiello C. Kalmanek P. McDaniel S. Sen O. Spatscheck and J. van der Merwe "Analysis of communities of interest in data networks " in Passive and Active Measurement March 2005. 10.1007/978-3-540-31966-5_7 W. Aiello C. Kalmanek P. McDaniel S. Sen O. Spatscheck and J. van der Merwe "Analysis of communities of interest in data networks " in Passive and Active Measurement March 2005. 10.1007/978-3-540-31966-5_7

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