Rules of encounter: designing conventions for automated negotiation among computers
Rules of encounter: designing conventions for automated negotiation among computers
Bayesian learning in negotiation
International Journal of Human-Computer Studies - Evolution and learning in multiagent systems
Intelligent agents for automated one-to-many e-commerce negotiation
ACSC '02 Proceedings of the twenty-fifth Australasian conference on Computer science - Volume 4
JSSPP '02 Revised Papers from the 8th International Workshop on Job Scheduling Strategies for Parallel Processing
Application Experiences with the Globus Toolkit
HPDC '98 Proceedings of the 7th IEEE International Symposium on High Performance Distributed Computing
Resource Co-Allocation in Computational Grids
HPDC '99 Proceedings of the 8th IEEE International Symposium on High Performance Distributed Computing
Negotiating Agents in a Market-Oriented Grid
CCGRID '02 Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid
Concurrent bi-lateral negotiation in agent systems
DEXA '03 Proceedings of the 14th International Workshop on Database and Expert Systems Applications
Coordinating Multiple Concurrent Negotiations
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Reasoning about commitments in multiple concurrent negotiations
ICEC '04 Proceedings of the 6th international conference on Electronic commerce
From market-driven agents to market-oriented grids (position paper)
ACM SIGecom Exchanges
A survey of bargaining models for grid resource allocation
ACM SIGecom Exchanges
A Relaxed-Criteria Bargaining Protocol for Grid Resource Management
CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid - Volume 01
Co-reservation with the concept of virtual resources
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid - Volume 01
Relaxed-criteria G-negotiation for Grid resource co-allocation
ACM SIGecom Exchanges
A Concurrent G-Negotiation Mechanism for Grid Resource Co-allocation
ICEBE '07 Proceedings of the IEEE International Conference on e-Business Engineering
GSMA based Automated Negotiation Model for Grid Scheduling
SCC '08 Proceedings of the 2008 IEEE International Conference on Services Computing - Volume 2
A Regression-based Coordination for Concurrent Negotiation
ISECS '08 Proceedings of the 2008 International Symposium on Electronic Commerce and Security
Negotiation Model Supporting Co-Allocation for Grid Scheduling
GRID '06 Proceedings of the 7th IEEE/ACM International Conference on Grid Computing
A heuristic model for concurrent bi-lateral negotiations in incomplete information settings
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Managing commitments in multiple concurrent negotiations
Electronic Commerce Research and Applications
PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
A meta-scheduling service for co-allocating arbitrary types of resources
PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
Agents that react to changing market situations
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Flexible negotiation agent with relaxed decision rules
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Equilibria, prudent Compromises,and the "Waiting" game
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Grid Commerce, Market-Driven G-Negotiation, and Grid Resource Management
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Strategic agents for multi-resource negotiation
Autonomous Agents and Multi-Agent Systems
Towards complex negotiation for cloud economy
GPC'10 Proceedings of the 5th international conference on Advances in Grid and Pervasive Computing
Concurrent negotiations in cloud-based systems
GECON'11 Proceedings of the 8th international conference on Economics of Grids, Clouds, Systems, and Services
Reliable resources brokering scheme in wireless grids based on non-cooperative bargaining game
Journal of Network and Computer Applications
From problems to protocols: Towards a negotiation handbook
Decision Support Systems
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Bolstering resource coallocation is essential for realizing the Grid vision, because computationally intensive applications often require multiple computing resources from different administrative domains. Given that resource providers and consumers may have different requirements, successfully obtaining commitments through concurrent negotiations with multiple resource providers to simultaneously access several resources is a very challenging task for consumers. The impetus of this paper is that it is one of the earliest works that consider a concurrent negotiation mechanism for Grid resource coallocation. The concurrent negotiation mechanism is designed for 1) managing (de)commitment of contracts through one-to-many negotiations and 2) coordination of multiple concurrent one-to-many negotiations between a consumer and multiple resource providers. The novel contributions of this paper are devising 1) a utility-oriented coordination (UOC) strategy, 2) three classes of commitment management strategies (CMSs) for concurrent negotiation, and 3) the negotiation protocols of consumers and providers. Implementing these ideas in a testbed, three series of experiments were carried out in a variety of settings to compare the following: 1) the CMSs in this paper with the work of others in a single one-to-many negotiation environment for one resource where decommitment is allowed for both provider and consumer agents; 2) the performance of the three classes of CMSs in different resource market types; and 3) the UOC strategy with the work of others [e.g., the patient coordination strategy (PCS)] for coordinating multiple concurrent negotiations. Empirical results show the following: 1) the UOC strategy achieved higher utility, faster negotiation speed, and higher success rates than PCS for different resource market types; and 2) the CMS in this paper achieved higher final utility than the CMS in other works. Additionally, the properties of the three classes of CMSs in different kinds of resource markets are also verified.