Abstract. Computational environments used by scientists should provide high-level support for scientific processes that involve the integrated ematic use of familiar abstractions f...
Allen D. Malony, Jenifer L. Skidmore, Matthew J. S...
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...
Data grids provide geographically distributed storage and computing resources for large data-intensive applications. To support fast data access and processing, effective data man...
Future Grid Networks should be able to provide Quality of Service (QoS) guarantees to their users. In this work we propose a framework for Grid Networks that provides deterministi...
Panagiotis C. Kokkinos, Emmanouel A. Varvarigos, N...
We investigate runtime strategies for data-intensive applications that involve generalized reductions on large, distributed datasets. Our set of strategies includes replicated fi...