Sciweavers

Share
HPDC
2006
IEEE

Troubleshooting Distributed Systems via Data Mining

11 years 5 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 debugging when failure occurs. Data mining allows the extraction of patterns within large amounts of data and therefore forms the foundation for a useful method of debugging, particularly within such distributed systems. This paper outlines a successful application of data mining in troubleshooting distributed systems, proposes a framework for further study, and speculates on other future work.
David A. Cieslak, Douglas Thain, Nitesh V. Chawla
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where HPDC
Authors David A. Cieslak, Douglas Thain, Nitesh V. Chawla
Comments (0)
books