Abstract— In this work, we demonstrate the power of providing a common set of operating system services to Grid Architectures, including high-performance I/O, communication, reso...
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
In this paper, we present the design and implementation of Dodo, an e cient user-level system for harvesting idle memory in o -the-shelf clusters of workstations. Dodo enables dat...
Using off-the-shelf commodity workstations and PCs to build a cluster for parallel computing has become a common practice. A choice of a cost-effective cluster computing platform ...
We study the problem of improving the user perceived quality of online games in which multiple players form a game session and exchange game-state updates over an overlay network....