V
Vijay Kumar Adhikari
Researcher at University of Minnesota
Publications - 14
Citations - 1643
Vijay Kumar Adhikari is an academic researcher from University of Minnesota. The author has contributed to research in topics: The Internet & Server. The author has an hindex of 10, co-authored 14 publications receiving 1568 citations. Previous affiliations of Vijay Kumar Adhikari include Microsoft.
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Proceedings ArticleDOI
Unreeling netflix: Understanding and improving multi-CDN movie delivery
Vijay Kumar Adhikari,Yang Guo,Fang Hao,Matteo Varvello,Volker Hilt,Moritz Steiner,Zhi-Li Zhang +6 more
TL;DR: A measurement study of Netflix is performed to uncover its architecture and service strategy, and finds that Netflix employs a blend of data centers and Content Delivery Networks (CDNs) for content distribution.
Proceedings ArticleDOI
Vivisecting YouTube: An active measurement study
TL;DR: The design of YouTube video delivery system consists of a “flat” video id space, multiple DNS namespaces reflecting a multi-layered logical organization of video servers, and a 3-tier physical cache hierarchy.
Proceedings ArticleDOI
A first look at inter-data center traffic characteristics via Yahoo! datasets
TL;DR: A first study of D2D traffic characteristics using the anonymized NetFlow datasets collected at the border routers of five major Yahoo! data centers is presented, revealing that Yahoo! uses a hierarchical way of deploying data centers, with several satellite data centers distributed in other countries and backbone data center distributed in US locations.
Proceedings ArticleDOI
Reverse traceroute
Ethan Katz-Bassett,Harsha V. Madhyastha,Vijay Kumar Adhikari,Colin Scott,Justine Sherry,Peter Van Wesep,Thomas Anderson,Arvind Krishnamurthy +7 more
TL;DR: In this article, a reverse traceroute system is proposed to estimate the reverse path from the destination back to the source, where the user may lack control of the destination and the path can be reconstructed incrementally using a variety of measurement techniques.
Proceedings ArticleDOI
YouTube traffic dynamics and its interplay with a tier-1 ISP: an ISP perspective
TL;DR: The surprising fact that YouTube does not consider the geographic locations of its users at all while serving video content is discovered, and a novel method to estimate unseen traffic is developed so as to "complete" the traffic matrix between YouTube data centers and users from the customer ASes of the ISP.