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Ratnasamy, Sylvia - Intel Research Berkeley
intel labs berkeley intel labs berkeley
Can Heterogeneity Make Gnutella Scalable? (qlv@cs.princeton.edu)
Application-Level Multicast using Content-Addressable Sylvia Ratnasamy
Practical Data-Centric Storage Cheng Tien Ee
Hot Data Centers vs. Cool Peers Sergiu Nedevschi
Scaling End-to-end Multicast Transports with a Topologically-sensitive Group Formation Protocol
NetComplex: A Complexity Metric for Networked System Designs Byung-Gon Chun
Data-Centric Storage in Sensornets Scott Shenker
Capturing Complexity in Networked Systems Design: The Case for Improved Metrics
Topologically-Aware Overlay Construction and Server Sylvia Ratnasamy, Mark Handley, Richard Karp, Scott Shenker
Copyright 2002, Intel Corporation, All rights reserved. Range Queries over DHTs
Improved Forwarding Architecture and Resource Management for Multi-Core Software Routers
Can Software Routers Scale? Katerina Argyraki
Reducing Network Energy Consumption via Sleeping and Rate-Adaptation
A Measurement-based Deployment Proposal for IP Anycast Hitesh Ballani
Revisiting IP Multicast Sylvia Ratnasamy
Towards an Evolvable Internet Architecture Sylvia Ratnasamy
Prefix Hash Tree An Indexing Data Structure over Distributed Hash Tables
Inference of Multicast Routing Trees and Bottleneck Bandwidths using End-to-end Measurements
Geographic Routing without Location Information Ananth Rao Sylvia Ratnasamy
GHT: A Geographic Hash Table for Data-Centric Storage Sylvia Ratnasamy and Brad Karp
An Adaptive, High Performance MAC for Long-Distance Multihop Wireless Networks
