Replicating data over a cluster of workstations is a powerful tool to increase performance, and provide faulttolerance for demanding database applications. The big challenge in su...
In this paper, we propose a parallel algorithm for mining maximal frequent itemsets from databases. A frequent itemset is maximal if none of its supersets is frequent. The new par...
Fast Ethernet and ATM are two attractive network technologies for interconnecting workstation clusters for parallel and distributed computing. This paper compares network interfac...
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
networking with a layer 2 abstraction provides a powerful model for virtualized wide-area distributed computing resources, including for high performance computing (HPC) on collec...
Lei Xia, Zheng Cui, John R. Lange, Yuan Tang, Pete...