This work addresses the need for stateful dataflow programs that can rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step c...
Dionysios Logothetis, Christopher Olston, Benjamin...
Clusters have made the jump from lab prototypes to fullfledged production computing platforms. The number, variety, and specialized configurations of these machines are increasi...
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...
Resource management constitutes an important infrastructural component of a computational grid environment. The aim of grid resource management is to efficiently schedule applicat...
Junwei Cao, Stephen A. Jarvis, Daniel P. Spooner, ...
In modern resource management systems for supercomputers and HPC-clusters the job-scheduler plays a major role in improving the performance and usability of the system. The perfor...