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OSDI
2008
ACM
16 years 7 months ago
Carnegie Mellon's CyDAT: Harnessing a Wide Array of Telemetry Data to Enhance Distributed System Diagnostics
The number and complexity of distributed applications has exploded, and to-date, each has had to create its own method for providing diagnostic tools and performance metrics. Thes...
Chas DiFatta, Mark Poepping, Daniel V. Klein
180
Voted
ICDE
2010
IEEE
288views Database» more  ICDE 2010»
16 years 7 months ago
Global Iceberg Detection over Distributed Data Streams
In today's Internet applications or sensor networks we often encounter large amounts of data spread over many physically distributed nodes. The sheer volume of the data and ba...
Ashwin Lall, Haiquan (Chuck) Zhao, Jun Xu, Mitsuno...
BMCBI
2010
132views more  BMCBI 2010»
15 years 7 months ago
Next generation tools for genomic data generation, distribution, and visualization
Background: With the rapidly falling cost and availability of high throughput sequencing and microarray technologies, the bottleneck for effectively using genomic analysis in the ...
David A. Nix, Tonya L. Di Sera, Brian K. Dalley, B...
IADIS
2004
15 years 8 months ago
A note on the distribution of packet arrivals in high-speed data networks
A simple explanation is given of an anomaly often detected in traffic measurement when packet timings are truncated to nearest whole numbers. The correct observed discrete distrib...
Vic Grout, Stuart Cunningham, Denise Oram, Rich He...
CORR
2011
Springer
183views Education» more  CORR 2011»
14 years 11 months ago
Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
Foster J. Provost, Gary M. Weiss