Abstract. Grid computing is based on coordinated resource sharing in a dynamic environment of multi-institutional virtual organizations. Data exchanges, and service allocation, are...
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...
The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an e...
Large-scale donation-based distributed infrastructures need to cope with the inherent unreliability of participant nodes. A widely-used work scheduling technique in such environme...
Krishnaveni Budati, Jason D. Sonnek, Abhishek Chan...
CPU utilization, throughput, turnaround time, waiting time, and response time are the factor to influence system performance. Every system uses different scheduling algorithms to a...
Homer Wu, Chong-Yen Lee, Wuu-Yee Chen, Tsang-Yean ...