Future Generation Computer Systems - Special issue on metacomputing
A taxonomy and survey of grid resource management systems for distributed computing
Software—Practice & Experience
Performance prediction and its use in parallel and distributed computing systems
Future Generation Computer Systems - Systems performance analysis and evaluation
GCC '07 Proceedings of the Sixth International Conference on Grid and Cooperative Computing
A Dynamic Domain-Based Network Information Model for Computational Grids
FGCN '07 Proceedings of the Future Generation Communication and Networking - Volume 01
A new mechanism for resource monitoring in Grid computing
Future Generation Computer Systems
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 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
Optimal adaptive bandwidth monitoring for QoS based retrieval
IEEE Transactions on Multimedia
Hi-index | 0.00 |
Grid computing technique is more and more popular. In general, Ganglia and NWS are applied to monitor Grid nodes' status and network-related information, respectively. Comprehensive monitoring and effective management are criterions to archive higher performance of grid computation. Unfortunately, owing to diverse user requirements, information provided by Ganglia and NWS services is not sufficient in real cases, especially for application developers. In addition, NWS services that deployed based on “Domain-based Network Information Model” could greatly reduce overheads caused by unnecessary measurements. This study proposes a heuristic QoS measurement architecture, which constructed with a domain-base model, to provide effective information to meet user requirements, especially for application developers.