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» Troubleshooting Distributed Systems via Data Mining
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HPDC
2006
IEEE
13 years 10 months ago
Troubleshooting Distributed Systems via Data Mining
Through massive parallelism, distributed systems enable the multiplication of productivity. Unfortunately, increasing the scale of available machines to users will also multiply d...
David A. Cieslak, Douglas Thain, Nitesh V. Chawla
GRID
2008
Springer
13 years 5 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
VLDB
2005
ACM
196views Database» more  VLDB 2005»
13 years 10 months ago
Summarizing and Mining Inverse Distributions on Data Streams via Dynamic Inverse Sampling
Emerging data stream management systems approach the challenge of massive data distributions which arrive at high speeds while there is only small storage by summarizing and minin...
Graham Cormode, S. Muthukrishnan, Irina Rozenbaum
ICDM
2009
IEEE
223views Data Mining» more  ICDM 2009»
13 years 11 months ago
Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis
Abstract -- Detection of execution anomalies is very important for the maintenance, development, and performance refinement of large scale distributed systems. Execution anomalies ...
Qiang Fu, Jian-Guang Lou, Yi Wang, Jiang Li
IMC
2010
ACM
13 years 2 months ago
What happened in my network: mining network events from router syslogs
Router syslogs are messages that a router logs to describe a wide range of events observed by it. They are considered one of the most valuable data sources for monitoring network ...
Tongqing Qiu, Zihui Ge, Dan Pei, Jia Wang, Jun Xu