This paper presents a novel framework for managing network congestion from an end-to-end perspective. Our work is motivated by several trends in traffic patterns that threaten th...
Hari Balakrishnan, Hariharan Shankar Rahul, Sriniv...
The recent improvements in workstation and interconnection network performance have popularized the clusters of off-the-shelf workstations. However, the usefulness of these cluste...
—Association rules are useful for determining correlations between attributes of a relation and have applications in the marketing, financial, and retail sectors. Furthermore, op...
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...
This paper introduces a new approach to database disk buffering, called the LRU–K method. The basic idea of LRU–K is to keep track of the times of the last K references to pop...
Elizabeth J. O'Neil, Patrick E. O'Neil, Gerhard We...