Multi-Period Combinatorial Auction Mechanism for Distributed Resource Allocation and Scheduling
We consider the problem of resource allocation and scheduling where information and decisions are decentralized, and our goal is to propose a market mechanism that allows resources from a central resource pool to be allocated to distributed decision makers (agents) that seek to optimize their respec...
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sg-smu-ink.sis_research-12072015-12-05T10:15:18Z Multi-Period Combinatorial Auction Mechanism for Distributed Resource Allocation and Scheduling LAU, Hoong Chuin CHENG, Shih-Fen LEONG, Thin Yin PARK, Jong Han ZHAO, Zhengyi We consider the problem of resource allocation and scheduling where information and decisions are decentralized, and our goal is to propose a market mechanism that allows resources from a central resource pool to be allocated to distributed decision makers (agents) that seek to optimize their respective scheduling goals. We propose a generic combinatorial auction mechanism that allows agents to competitively bid for the resources needed in a multi-period setting, regardless of the respective scheduling problem faced by the agent, and show how agents can design optimal bidding strategies to respond to price adjustment strategies from the auctioneer. We apply our approach to handle real-time large-scale dynamic resource coordination in a mega-scale container terminal. 2007-11-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/208 info:doi/10.1109/IAT.2007.41 https://ink.library.smu.edu.sg/context/sis_research/article/1207/viewcontent/lau_CombinatorialAuction.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Artificial Intelligence and Robotics Business Operations Research, Systems Engineering and Industrial Engineering |
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Artificial Intelligence and Robotics Business Operations Research, Systems Engineering and Industrial Engineering LAU, Hoong Chuin CHENG, Shih-Fen LEONG, Thin Yin PARK, Jong Han ZHAO, Zhengyi Multi-Period Combinatorial Auction Mechanism for Distributed Resource Allocation and Scheduling |
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We consider the problem of resource allocation and scheduling where information and decisions are decentralized, and our goal is to propose a market mechanism that allows resources from a central resource pool to be allocated to distributed decision makers (agents) that seek to optimize their respective scheduling goals. We propose a generic combinatorial auction mechanism that allows agents to competitively bid for the resources needed in a multi-period setting, regardless of the respective scheduling problem faced by the agent, and show how agents can design optimal bidding strategies to respond to price adjustment strategies from the auctioneer. We apply our approach to handle real-time large-scale dynamic resource coordination in a mega-scale container terminal. |
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text |
author |
LAU, Hoong Chuin CHENG, Shih-Fen LEONG, Thin Yin PARK, Jong Han ZHAO, Zhengyi |
author_facet |
LAU, Hoong Chuin CHENG, Shih-Fen LEONG, Thin Yin PARK, Jong Han ZHAO, Zhengyi |
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LAU, Hoong Chuin |
title |
Multi-Period Combinatorial Auction Mechanism for Distributed Resource Allocation and Scheduling |
title_short |
Multi-Period Combinatorial Auction Mechanism for Distributed Resource Allocation and Scheduling |
title_full |
Multi-Period Combinatorial Auction Mechanism for Distributed Resource Allocation and Scheduling |
title_fullStr |
Multi-Period Combinatorial Auction Mechanism for Distributed Resource Allocation and Scheduling |
title_full_unstemmed |
Multi-Period Combinatorial Auction Mechanism for Distributed Resource Allocation and Scheduling |
title_sort |
multi-period combinatorial auction mechanism for distributed resource allocation and scheduling |
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Institutional Knowledge at Singapore Management University |
publishDate |
2007 |
url |
https://ink.library.smu.edu.sg/sis_research/208 https://ink.library.smu.edu.sg/context/sis_research/article/1207/viewcontent/lau_CombinatorialAuction.pdf |
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