Troubleshooting Interactive Complexity Bugs in Wireless Sensor Networks Using Data Mining Techniques

This paper presents a tool for uncovering bugs due to interactive complexity in networked sensing applications. Such bugs are not localized to one component that is faulty, but rather result from complex and unexpected interactions between multiple often individually non-faulty components. Moreover, the manifestations of these bugs are often not repeatable, making them particularly hard to find, as the particular sequence of events that invokes the bug may not be easy to reconstruct. Because of the distributed nature of failure scenarios, the tool looks for sequences of events that may be responsible for faulty behavior, as opposed to localized bugs such as a bad pointer in a module.

Provided by: University of Illinois Topic: Big Data Date Added: Sep 2010 Format: PDF

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