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» Predicting Network Response Times Using Social Information
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IPPS
2002
IEEE
15 years 8 months ago
Predicting the Performance of Wide Area Data Transfers
As Data Grids become more commonplace, large data sets are being replicated and distributed to multiple sites, leading to the problem of determining which replica can be accessed ...
Sudharshan Vazhkudai, Jennifer M. Schopf, Ian T. F...
112
Voted
SIGCOMM
2010
ACM
15 years 3 months ago
Predictable 802.11 packet delivery from wireless channel measurements
RSSI is known to be a fickle indicator of whether a wireless link will work, for many reasons. This greatly complicates operation because it requires testing and adaptation to fin...
Daniel Halperin, Wenjun Hu, Anmol Sheth, David Wet...
252
Voted
WSC
2007
15 years 6 months ago
Expecting the unexpected: representing, reasoning about, and assessing construction project contingencies
Planning, scheduling and effective management of contingencies are crucial for the successful management of construction projects. In this paper we explore a mathematical represen...
G. Ryan Anderson, Nilufer Onder, Amlan Mukherjee
144
Voted
NIPS
2008
15 years 5 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
157
Voted
SIGMETRICS
2000
ACM
145views Hardware» more  SIGMETRICS 2000»
15 years 3 months ago
The incremental deployability of RTT-based congestion avoidance for high speed TCP Internet connections
Our research focuses on end-to-end congestion avoidance algorithms that use round trip time (RTT) fluctuations as an indicator of the level of network congestion. The algorithms a...
Jim Martin, Arne A. Nilsson, Injong Rhee