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» Trace data characterization and fitting for Markov modeling
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VLDB
2008
ACM
127views Database» more  VLDB 2008»
14 years 7 months ago
Delay aware querying with Seaweed
Large highly distributed data sets are poorly supported by current query technologies. Applications such as endsystembased network management are characterized by data stored on l...
Dushyanth Narayanan, Austin Donnelly, Richard Mort...
PAM
2009
Springer
14 years 2 months ago
On the 95-Percentile Billing Method
Abstract. The 95-percentile method is used widely for billing ISPs and websites. In this work, we characterize important aspects of the 95-percentile method using a large set of tr...
Xenofontas A. Dimitropoulos, Paul Hurley, Andreas ...
BMCBI
2007
115views more  BMCBI 2007»
13 years 7 months ago
A novel, fast, HMM-with-Duration implementation - for application with a new, pattern recognition informed, nanopore detector
Background: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) ...
Stephen Winters-Hilt, Carl Baribault
ICCAD
2005
IEEE
147views Hardware» more  ICCAD 2005»
14 years 4 months ago
NoCEE: energy macro-model extraction methodology for network on chip routers
In this paper we present NoCEE, a fast and accurate method for extracting energy models for packet-switched Network on Chip (NoC) routers. Linear regression is used to model the r...
Jeremy Chan, Sri Parameswaran
WWW
2008
ACM
14 years 8 months ago
A comparative analysis of web and peer-to-peer traffic
Peer-to-Peer (P2P) applications continue to grow in popularity, and have reportedly overtaken Web applications as the single largest contributor to Internet traffic. Using traces ...
Naimul Basher, Aniket Mahanti, Anirban Mahanti, Ca...