Jennifer Yates

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Automated, rapid, and effective fault management is a central goal of large operational IP networks. Today's networks suffer from a wide and volatile set of failure modes, where the underlying fault proves difficult to detect and localize, thereby delaying repair. One of the main challenges stems from operational reality: IP routing and the underlying(More)
Internet backbone networks are under constant flux, struggling to keep up with increasing demand. The pace of technology change often outstrips the deployment of associated fault monitoring capabilities that are built into today's IP protocols and routers. Moreover, some of these new technologies cross networking layers, raising the potential for(More)
Understanding the variability of Internet traffic in backbone networks is essential to better plan and manage existing networks, as well as to design next generation networks. However, most traffic analyses that might be used to approach this problem are based on detailed packet or flow level measurements, which are usually not available throughout a large(More)
Cloud service providers use replication across geographically distributed data centers to improve end-to-end performance as well as to offer high reliability under failures. Content replication often involves the transfer of huge data sets over the wide area network and demands high backbone transport capacity. In this paper, we discuss how a(More)
Planned maintenance is a fact of life in IP networks. Examples of maintenance activities include updating router software as well as processor upgrades, memory upgrades, installation of additional line cards, and other hardware upgrades. While planned maintenance is clearly necessary, it is also costly. Software upgrades, for example, require rebooting the(More)
Recent trends in the networked services industry (e.g., CDN, VPN, VoIP, IPTV) see Internet Service Providers (ISPs) leveraging their existing network connectivity to provide an end-to-end solution. Consequently, new opportunities are available to monitor and improve the end-to-end service quality by leveraging the information from inside the network. We(More)
Accurate cross-layer associations play an essential role in today’s network management tasks such as backbone planning, maintenance, and failure diagnosis. Current techniques for manually maintaining these associations are complex, tedious, and error-prone. One possible approach is to widen the interfaces between layers to support auto discovery. We argue(More)