BibTeX
@MISC{Kim09scalableand,
author = {Changhoon Kim},
title = {Scalable and Efficient Self-Configuring Networks},
year = {2009}
}
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Abstract
Managing today’s data networks is highly expensive, difficult, and error-prone. At the center of this enormous difficulty lies configuration: a Sisyphean task of updating operational settings of numerous network devices and protocols. Much has been done to mask this configuration complexity intrinsic to conventional networks, but little effort has been made to redesign the networks themselves to make them easier to configure. As part of a broad effort to rearchitect networks with ease of configuration in mind, this dissertation focuses on enabling self-configuration in edge networks – corporate or university-campus, data-center, or virtual private networks – which are rapidly growing and yet significantly under-explored. To ensure wide deployment, however, selfconfiguring networks must be scalable and efficient at the same time. To this end, we first identify three technical principles: flat addressing (enabling self-configuration), traffic indirection (enhancing scalability), and usage-driven optimization (improving efficiency). Then, to demonstrate the benefits of these principles, we design, implement, and deploy practical network architectures built upon the principles. Our first architecture, SEATTLE, combines Ethernet’s self-configuration capability
Keyphrases
efficient self-configuring network conventional network traffic indirection operational setting first architecture enormous difficulty numerous network device configuration complexity broad effort data network virtual private network practical network architecture wide deployment flat addressing edge network little effort usage-driven optimization technical principle self-configuration capability combine ethernet sisyphean task
