Donald F. Caldwell

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The routers in an Autonomous System (AS) must distribute the information they learn about how to reach external destinations. Unfortunately, today's internal Border Gateway Protocol (iBGP) architectures have serious problems: a "full mesh" iBGP configuration does not scale to large networks and "route reflection" can introduce problems such as protocol(More)
Human error in configuring routers undermines attempts to provide reliable, predictable end-to-end performance on IP networks. Manual configuration, while expensive and error-prone, is the dominant mode of operation, especially for large enterprise networks. These networks often lack the basic building blocks---an accurate equipment inventory, a debugged(More)
We study the problem of compressing massive tables. We devise a novel compression paradigm—training for lossless compression— which assumes that the data exhibit dependencies that can be learned by examining a small amount of training material. We develop an experimental methodology to test the approach. Our result is a system, pzip, which outperforms gzip(More)
Network functionality is growing increasingly complex, making network configuration management a steadily growing challenge. Router configurations capture and reflect all levels of network operation, and it is highly challenging to manage the detailed configurations of the potentially huge number of routers that run a network. One source of difficulty is(More)
Networks and the functionality that they deliver are growing increasingly complex, making network management a steadily growing challenge. A key component of network management is configuration management. Router configurations capture and reflect all levels of network operation, and it is highly challenging to manage the detailed configurations of the(More)
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