P
Priya Mahadevan
Researcher at PARC
Publications - 65
Citations - 5817
Priya Mahadevan is an academic researcher from PARC. The author has contributed to research in topics: Network topology & The Internet. The author has an hindex of 26, co-authored 65 publications receiving 5655 citations. Previous affiliations of Priya Mahadevan include Duke University & Google.
Papers
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Proceedings ArticleDOI
ElasticTree: saving energy in data center networks
Brandon Heller,Srini Seetharaman,Priya Mahadevan,Yiannis Yiakoumis,Puneet Sharma,Sujata Banerjee,Nick McKeown +6 more
TL;DR: This work presents ElasticTree, a network-wide power1 manager, which dynamically adjusts the set of active network elements -- links and switches--to satisfy changing data center traffic loads, and demonstrates that for data center workloads, ElasticTree can save up to 50% of network energy, while maintaining the ability to handle traffic surges.
Journal ArticleDOI
Systematic topology analysis and generation using degree correlations
TL;DR: This work presents a new, systematic approach for analyzing network topologies, introducing the dK-series of probability distributions specifying all degree correlations within d-sized subgraphs of a given graph G, and demonstrates that these graphs reproduce, with increasing accuracy, important properties of measured and modeled Internet topologies.
Journal ArticleDOI
Scalability and accuracy in a large-scale network emulator
Amin Vahdat,Kenneth Yocum,Kevin Walsh,Priya Mahadevan,Dejan Kostic,Jeffrey S. Chase,David Becker +6 more
TL;DR: The current ModelNet prototype is able to accurately subject thousands of instances of a distrbuted application to Internet-like conditions with gigabits of bisection bandwidth, including novel techniques to balance emulation accuracy against scalability.
Book ChapterDOI
A Power Benchmarking Framework for Network Devices
TL;DR: The hurdles in network power instrumentation are described and a power measurement study of a variety of networking gear such as hubs, edge switches, core switches, routers and wireless access points in both stand-alone mode and a production data center are presented.
Interest flooding attack and countermeasures in Named Data Networking
TL;DR: This paper investigates effective solutions to mitigate Interest flooding and shows that NDN's inherent properties of storing per packet state on each router and maintaining flow balance provides the basis for effective DDoS mitigation algorithms.