Resource prediction can greatly assist resource selection and scheduling in a distributed resource sharing environment such as a computational grid. Existing resource prediction m...
Internet data centers (IDCs) perform multi-customer hosting on a virtualized collection of resources while Grid computing generalizes distributed computing by focusing on large sc...
We present an adaptive compression environment (ACE) that uses both underlying resource performance (network and CPU) predictions and the compressibility of the data stream to per...
Effective scheduling in large-scale computational grids is challenging because it requires tracking the dynamic state of the large number of distributed resources that comprise th...
Deger Cenk Erdil, Michael J. Lewis, Nael B. Abu-Gh...
This paper is concerned with the scalability of large-scale grid monitoring and information services, which are mainly used for the discovery of resources of interest. Large-scale...