Journal of Parallel and Distributed Computing
Dynamic Virtual Clusters in a Grid Site Manager
HPDC '03 Proceedings of the 12th IEEE International Symposium on High Performance Distributed Computing
Owner/user role in computational grid extension by non-dedicated resources
GROUP '03 Proceedings of the 2003 international ACM SIGGROUP conference on Supporting group work
Emerging Technologies for Next-Generation GRID
WETICE '04 Proceedings of the 13th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
Adjusted fair scheduling and non-linear workload prediction for QoS guarantees in grid computing
Computer Communications
Peer-to-peer for computational grids: mixing clusters and desktop machines
Parallel Computing
Characterizing resource availability in enterprise desktop grids
Future Generation Computer Systems
Automatic grid assembly by promoting collaboration in peer-to-peer grids
Journal of Parallel and Distributed Computing
HPCC '08 Proceedings of the 2008 10th IEEE International Conference on High Performance Computing and Communications
A New Wireless Web Access Mode Based on Cloud Computing
PACIIA '08 Proceedings of the 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application - Volume 01
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The developed DnD Grid system aims to improve building of distributed computer environments by dedicated and non-dedicated resources. The proposed approach supposes overdimensioned static performance and dynamic underloading of non-dedicated resources. Efficiency, availability and autonomy of such distributed heterogeneous environment depend on platform, application, mapping and resource owner/service user (human). The developed resource management system enables creation of a ranking list of owners/users and their resources, monitoring of parameters of the established virtual organization during application execution, as well as improvement of system performance by careful mapping resources and owners/users. The obtained experimental results show that the proposed approach and the corresponding mapping algorithm can significantly improve system performance.