This paper describes a sensor-based middleware for performance monitoring and data integration in the Grid that is capable of self-management. The middleware unifies both system ...
Job Scheduling on Computational Grids is gaining importance due to the need for efficient large-scale Grid-enabled applications. Among different optimization techniques addressed ...
A fundamental task on the Grid is to decide what jobs to run on what computing resources based on job or application requirements. Our previous work on ontology-based matchmaking ...
Andreas Harth, Stefan Decker, Yu He, Hongsuda Tang...
This paper examines the job exchange between parallel compute sites in a decentralized Grid scenario. Here, the local scheduling system remains untouched and continues normal oper...
Christian Grimme, Joachim Lepping, Alexander Papas...
We describe our project that marries data mining together with Grid computing. Specifically, we focus on one data mining application - the Minnesota Intrusion Detection System (MIN...
Jon B. Weissman, Vipin Kumar, Varun Chandola, Eric...