A Genetic Algorithm Based Approach for Scheduling Decomposable Data Grid Applications
ICPP '04 Proceedings of the 2004 International Conference on Parallel Processing
Dimensioning and on-line scheduling in Lambda Grids using divisible load concepts
The Journal of Supercomputing
Resource-Aware Distributed Scheduling Strategies for Large-Scale Computational Cluster/Grid Systems
IEEE Transactions on Parallel and Distributed Systems
Harmony - Advance Reservations in Heterogeneous Multi-domain Environments
NETWORKING '09 Proceedings of the 8th International IFIP-TC 6 Networking Conference
Network virtualization: state of the art and research challenges
IEEE Communications Magazine
Future Generation Computer Systems
Virtual network provisioning across multiple substrate networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Towards Network-Aware Divisible Load Theory for Optical Grids
HPCC '11 Proceedings of the 2011 IEEE International Conference on High Performance Computing and Communications
Phosphorus grid-enabled GMPLS control plane (GMPLS): architectures, services, and interfaces
IEEE Communications Magazine
Load-Balancing Data Traffic Among Inter-Domain Links
IEEE Journal on Selected Areas in Communications
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Geographically distributed applications in grid computing environments are becoming more and more resource intensive. Many applications require the collaboration between different domains, may be independently administrated domains, to exchange data and share computing and storage resources. This collaboration should be done in a way that maintains the privacy of each participant domain. This calls for new architectures and approaches to deal with such multidomain environments. We propose a hierarchical-based architecture as well as multidomain hierarchical resource allocation approach. The resource allocation is performed in a distributed way among different domains such that each participant domain keeps its internal topology and private data hidden while sharing abstracted information with other domains. Both computing and networking resources are jointly scheduled while optimizing the application completion time taking into account data transfer delays. Simulation results show the scalability and feasibility of the proposed approach.