The grid
Architectural Models for Resource Management in the Grid
GRID '00 Proceedings of the First IEEE/ACM International Workshop on Grid Computing
A Resource Management Architecture for Metacomputing Systems
IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Condor-G: A Computation Management Agent for Multi-Institutional Grids
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
Active networks for efficient distributed network management
IEEE Communications Magazine
A policy-based quality of service management system for IP DiffServ networks
IEEE Network: The Magazine of Global Internetworking
Performance comparison of Flow Aware Networking (FAN) architectures under GridFTP traffic
Proceedings of the 2008 ACM symposium on Applied computing
Evaluation of Flow-Aware Networking (FAN) architectures under GridFTP traffic
Future Generation Computer Systems
Towards a hybrid load balancing policy in grid computing system
Expert Systems with Applications: An International Journal
A hybrid policy for fault tolerant load balancing in grid computing environments
Journal of Network and Computer Applications
Admission control in Flow-Aware Networking (FAN) architectures under GridFTP traffic
Optical Switching and Networking
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The essence of Grid Computing is to provide efficient Resource on Demand (RoD). This paper addresses this challenge from the perspective of network, the living platform of Grid, by providing effective Quality of Service (QoS) mechanisms (both IntServ and DiffServ) inside the Grid networking environment. Specifically, the efficiency of this QoS mechanism is maximized by policy-based management taking care of the flexible control of QoS parameters/components and active networks technology looking after the fast delivery of various QoS configurations. The first experiment exemplified the current implementation status.