Flexible double auctions for electionic commerce: theory and implementation
Decision Support Systems - Special issue on economics of electronic commerce
Decentralized Resource Allocation in Application Layer Networks
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
Supporting Adaptable Distributed Systems with FORMAware
ICDCSW '04 Proceedings of the 24th International Conference on Distributed Computing Systems Workshops - W7: EC (ICDCSW'04) - Volume 7
Software—Practice & Experience
A distributed architecture meta-model for self-managed middleware
Proceedings of the 5th workshop on Adaptive and reflective middleware (ARM '06)
SORMA - building an open grid market for grid resource allocation
GECON'07 Proceedings of the 4th international conference on Grid economics and business models
Reverse auction-based grid resources allocation
PRIMA'06 Proceedings of the 9th Pacific Rim international conference on Agent Computing and Multi-Agent Systems
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The scheduling process in large scale distributed systems (LSDS) became more important due to increases in the number of users and applications. This paper presents a dynamic meta-scheduling architecture model for LSDS based on monitoring. The dynamic scheduling process tries to perform task allocation on the fly as the application executes. The monitoring has an important role in this process because it can offer a full view of nodes in distributed systems. The proposed architecture is an agent framework and contains a grid monitoring service, an execution service and a discovery service. The performance of the used monitoring system, MonALISA, is very important for dynamic scheduling because it ensures the real-time process. The experimental results validate our architecture and scheduling model.