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» Three Case Studies of Large-Scale Data Flows
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GRID
2008
Springer
13 years 8 months ago
Troubleshooting thousands of jobs on production grids using data mining techniques
Large scale production computing grids introduce new challenges in debugging and troubleshooting. A user that submits a workload consisting of tens of thousands of jobs to a grid ...
David A. Cieslak, Nitesh V. Chawla, Douglas Thain
BMVC
1998
13 years 9 months ago
Recovering Motion Fields: An Evaluation of Eight Optical Flow Algorithms
Evaluating the performance of optical flow algorithms has been difficult because of the lack of ground-truth data sets for complex scenes. We describe a simple modification to a r...
Ben Galvin, Brendan McCane, Kevin Novins, David Ma...
OSDI
2002
ACM
14 years 8 months ago
TCP Nice: A Mechanism for Background Transfers
Many distributed applications can make use of large background transfers ? transfers of data that humans are not waiting for ? to improve availability, reliability, latency or con...
Arun Venkataramani, Ravi Kokku, Michael Dahlin
PROMISE
2010
13 years 2 months ago
Defect cost flow model: a Bayesian network for predicting defect correction effort
Background. Software defect prediction has been one of the central topics of software engineering. Predicted defect counts have been used mainly to assess software quality and est...
Thomas Schulz, Lukasz Radlinski, Thomas Gorges, Wo...
SIGOPS
2010
162views more  SIGOPS 2010»
13 years 6 months ago
Visual and algorithmic tooling for system trace analysis: a case study
Despite advances in the application of automated statistical and machine learning techniques to system log and trace data there will always be a need for human analysis of machine...
Wim De Pauw, Steve Heisig