We present an architectural framework, Garnet, which a data stream centric abstraction to encourage the manipulation and exploitation of data generated in sensor networks. By prov...
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
Abstract In this paper, we propose the use of a distributed service management architecture for state-of-the-art service-enabled Grids. The architecture is capable of performing au...
Bruno Volckaert, Pieter Thysebaert, Marc De Leenhe...
Effective data placement strategies can enhance the performance of data-intensive applications implemented on high end computing clusters. Such strategies can have a significant i...
In this paper we study the performance properties of combined multiple heterogeneous networks. Consider two nodes node1 and node2 with multiple heterogeneous physical networks con...
Nader Mohamed, Jameela Al-Jaroodi, Hong Jiang, Dav...