Data clustering methods have many applications in the area of data mining. Traditional clustering algorithms deal with quantitative or categorical data points. However, there exist...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...
Evaluating the design of a distributed application is di cult but provides useful information for program development and maintenance. In distributed debugging, for example, proce...
We present a sound method for clustering alarms from static analyzers. Our method clusters alarms by discovering sound dependencies between them such that if the dominant alarm of ...
Main memory in many tera-scale systems requires tens of kilowatts of power. The resulting energy consumption increases system cost and the heat produced reduces reliability. Emerg...
Matthew E. Tolentino, Joseph Turner, Kirk W. Camer...
The ability to record and account for the usage of computational resources in a standardised way across different systems from multiple administrative domains is a precursor to wi...