Grids currently serve as platforms for numerous scientific as well as business applications that generate and access vast amounts of data. In this paper, we address the need for e...
Educational data mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from the educational context. This work is a ...
Abstract. A new trend in runtime system monitoring is to utilize MOFbased techniques in analyzing the runtime system data. Approaches and tools have been proposed to automatically ...
Hui Song, Gang Huang, Yingfei Xiong, Franck Chauve...
This paper describes Mortar, a distributed stream processing platform for building very large queries across federated systems (enterprises, grids, datacenters, testbeds). Nodes i...
The intricacy of real-time data service management increases mainly due to the emergence of applications operating in open and unpredictable environments, increases in software co...