Future Generation Computer Systems - Special issue on metacomputing
A taxonomy and survey of grid resource management systems for distributed computing
Software—Practice & Experience
A resource broker with an efficient network information model on grid environments
The Journal of Supercomputing
A Dynamic Domain-Based Network Information Model for Computational Grids
FGCN '07 Proceedings of the Future Generation Communication and Networking - Volume 01
Implementation of a Cyber Transformer for Parallel Download in Co-Allocation Data Grid Environments
GCC '08 Proceedings of the 2008 Seventh International Conference on Grid and Cooperative Computing
MIFAS: Medical Image File Accessing System in Co-allocation Data Grids
APSCC '08 Proceedings of the 2008 IEEE Asia-Pacific Services Computing Conference
A grid resource broker with network bandwidth-aware job scheduling for computational grids
GPC'07 Proceedings of the 2nd international conference on Advances in grid and pervasive computing
A multi-site resource allocation strategy in computational grids
GPC'08 Proceedings of the 3rd international conference on Advances in grid and pervasive computing
An efficient network information model using NWS for grid computing environments
GCC'05 Proceedings of the 4th international conference on Grid and Cooperative Computing
A personalised search approach for web service recommendation
International Journal of Ad Hoc and Ubiquitous Computing
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Recently, Grid computing is more and more widespread. Therefore, there exists a common issue, i.e., how to manage and monitor numerous resources of grid computing environments. Mostly, we use Ganglia and Network Weather Service (NWS) to monitor machines' status and network-related information, respectively. But, information provided by Ganglia and NWS is not sufficient in some scenarios owing to varied user requirements. Therefore, we propose a heuristic Quality of Service (QoS) measurement constructed with domain-based information model that provides more effective information to meet user requirements. Furthermore, we expect that users could manage and monitor numerous resources of grid environments more effectively and efficiently.