Congestion avoidance and control
SIGCOMM '88 Symposium proceedings on Communications architectures and protocols
Seven good reasons for mobile agents
Communications of the ACM
Tabu Search
Scheduling with Advanced Reservations
IPDPS '00 Proceedings of the 14th International Symposium on Parallel and Distributed Processing
Data-intensive e-science frontier research
Communications of the ACM - Blueprint for the future of high-performance networking
Ant Colony Optimization
Ten actions when Grid scheduling: the user as a Grid scheduler
Grid resource management
GMPLS-based service differentiation for scalable QoS support in all-optical Grid applications
Future Generation Computer Systems - Collaborative and learning applications of grid technology
G-lambda: coordination of a grid scheduler and lambda path service over GMPLS
Future Generation Computer Systems - IGrid 2005: The global lambda integrated facility
Dynamic provisioning of lightpath services for radio astronomy applications
Future Generation Computer Systems - IGrid 2005: The global lambda integrated facility
Multi-domain lambda grid data portal for collaborative grid applications
Future Generation Computer Systems - IGrid 2005: The global lambda integrated facility
Using Ant Colony Optimization for SuperScheduling in Computational Grid
APSCC '06 Proceedings of the 2006 IEEE Asia-Pacific Conference on Services Computing
Federated grid clusters using service address routed optical networks
Future Generation Computer Systems
Scalable dimensioning of resilient Lambda Grids
Future Generation Computer Systems
Future Generation Computer Systems
AntNet: distributed stigmergetic control for communications networks
Journal of Artificial Intelligence Research
Mobile software agents: an overview
IEEE Communications Magazine
Editorial: Special section: Bio-inspired algorithms for distributed systems
Future Generation Computer Systems
Emergent algorithms for replica location and selection in data grid
Future Generation Computer Systems
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The use of a dynamic reconfigurable optical network is an important requirement for the new advanced resource-intensive, highly distributed Grid applications that begin to emerge on the e-Science field. In this paper, we propose an ACO-based algorithm that is capable of the co-scheduling of both computational and optical network resources. We assess the performance of the proposed algorithm by comparison with traditional publish-and-subscribe grid systems that make use of topological routing of the lightpaths. The proposed algorithm can be used as a viable alternative for grid scheduling in Lambda Grids.