Running workloads in a grid environment is often a challenging problem due the scale of the environment, and to the resource partitioning based on various sharing strategies. A res...
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...
We propose a novel heterogeneous scalable desktop grid system, WaveGrid, which uses a peer-to-peer architecture and can satisfy the needs of applications with fastturnaround requi...
Resource prediction can greatly assist resource selection and scheduling in a distributed resource sharing environment such as a computational grid. Existing resource prediction m...
We describe the spatial Agent-Based Computational Laboratory that we have developed to study the pandemic influenza risks of US cities. This research presented a series of interes...