Algorithm for optimal winner determination in combinatorial auctions
Artificial Intelligence
Decision procedures for multiple auctions
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
BOB: improved winner determination in combinatorial auctions and generalizations
Artificial Intelligence
Scheduling with Advanced Reservations
IPDPS '00 Proceedings of the 14th International Symposium on Parallel and Distributed Processing
Developing a bidding agent for multiple heterogeneous auctions
ACM Transactions on Internet Technology (TOIT)
On Agent-Mediated Electronic Commerce
IEEE Transactions on Knowledge and Data Engineering
Resource Allocation in the Grid Using Reinforcement Learning
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
CABOB: a fast optimal algorithm for combinatorial auctions
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
A comparison of advance resource reservation bidding strategies in sequential ascending auctions
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
Resource trading using cognitive agents: A hybrid perspective and its simulation
Future Generation Computer Systems
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Advance Reservation for global grids becomes an important research area as it allows users to gain concurrent access for their applications to be executed in parallel, and guarantees the availability of resources at specified future times. In this paper, we propose a market-based framework for advance resource reservation through iterative combinatorial auction, and we also introduce three variant price updating methods and compare the revenue of the service providers, the duration of the auction, and the satisfaction of the users when all users use best-response bidding strategy.