Abstract
This paper addresses the task allocation problem in open, dynamic grid or service-oriented environments. In such environments, both grid/service providers and consumers can be modeled as intelligent agents. These agents can leave off and enter into an open environment freely at any time. Task allocation under time constraints becomes a critical issue in such environments since it is difficult to apply a central controller during the allocation process due to the openness of environments as well as decentralized natures of agents. This paper proposes a negotiation-based method for task allocation under time constraints in an open, dynamic grid environment, where both consumer and provider agents can enter into or leave off the environment freely. In this method, there is no central controller, and agents negotiate with each other for task allocation based only on local views. The experimental results show that the proposed method can outperform state-of-art methods in terms of success rate of task allocation and total profit obtained from the allocated tasks by agents under different time constraints.
The original version of the book was revised: The plagiarized chapter has been retracted. The erratum to the book is available at https://doi.org/10.1007/978-4-431-55525-4_11
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
References
An, B., Gatti, N., Lesser, V.: Bilateral bargaining with one-sided two-type uncertainty. In: Proceedings of the International Joint Conference on Web Intelligence and Intelligent Agent Technology, vol. 2, pp. 403–410 (2009)
An, B., Lesser, V., Irwin, D., Zink, M.: Automated negotiation with decommitment for dynamic resource allocation in cloud computing. In: Proceedings of AAMAS, pp. 981–988 (2010)
AuYoung, A., Chun, B., Snoeren, A., Vahdat, A.: Resource allocation in federated distributed computing infrastructures. In: Proceedings of the 1st Workshop on Operating System and Architectural Support for the On-demand IT InfraStructure, vol. 9 (2004)
Buyya, R., Abramson, D., Venugopal, S.: The grid economy. Proc. IEEE 93(3), 698–714 (2005)
Cramton, P., Shoham, Y., Steinberg, R.: Combinatorial Auctions. MIT Press, Cambridge (2006)
Dash, R.K., Vytelingum, P., Rogers, A., David, E., Jennings, N.R.: Market-based task allocation mechanisms for limited-capacity suppliers. IEEE Trans. Syst., Man Cybern., Part A: Syst. Hum. 37(3), 391–405 (2007)
de Weerdt, M., Zhang, Y., Klos, T.: Distributed task allocation in social networks. In: Proceedings of AAMAS, p. 76 (2007)
Dias, M.B., Zlot, R., Kalra, N., Stentz, A.: Market-based multirobot coordination: a survey and analysis. Proc. IEEE 94(7), 1257–1270 (2006)
Dooley, K.: Designing Large-Scale LANs. O’Reilly Media Inc., Sebastopol (2001)
Fatima, S.S., Wooldridge, M.: Adaptive task and resource allocation in multi-agent systems. In: Proceedings of the 5th International Conference on Autonomous Agents, pp. 537–544 (2001)
Fu, Y., Chase, J., Chun, B., Schwab, S., Vahdat, A.: Sharp: an architecture for secure resource peering. In: ACM SIGOPS Operating Systems Review, vol. 37, pp. 133–148. ACM (2003)
Gatti, N., Giunta, D., Marino, S.: Alternating-offers bargaining with one-sided uncertain deadlines: an efficient algorithm. Artif. Intell. 172(8), 1119–1157 (2008)
Irwin, D., Chase, J., Grit, L., Yumerefendi, A., Becker, D., Yocum, K.G.: Sharing networked resources with brokered leases. In: Proceedings of the USENIX Technical Conference, pp. 199–212 (2006)
Jennings, N.R., Faratin, P., Lomuscio, A.R., Parsons, S., Wooldridge, M.J., Sierra, C.: Automated negotiation: prospects, methods and challenges. Group Decis. Negot. 10(2), 199–215 (2001)
Klos, T., Nooteboom, B.: Adaptive learning in evolving task allocation networks. In: Proceedings of AAMAS, pp. 465–472 (2009)
Lai, K., Rasmusson, L., Adar, E., Zhang, L., Huberman, B.A.: Tycoon: an implementation of a distributed, market-based resource allocation system. Multiagent Grid Syst. 1(3), 169–182 (2005)
Macarthur, K.S., Stranders, R., Ramchurn, S.D., Jennings, N.R.: A distributed anytime algorithm for dynamic task allocation in multi-agent systems. In: Proceedings of AAAI, pp. 356–362 (2011)
Regev, O., Nisan, N.: The popcorn market. Online markets for computational resources. Decis. Support Syst. 28(1), 177–189 (2000)
Rubinstein, A.: Perfect equilibrium in a bargaining model. Econom.: J. Econom. Soc. 50(1), 97–109 (1982)
Theocharopoulou, C., Partsakoulakis, I., Vouros, G.A., Stergiou, K.: Overlay networks for task allocation and coordination in dynamic large-scale networks of cooperative agents. In: Proceedings of AAMAS, p. 55 (2007)
Zheng, X., Koenig, S.: Reaction functions for task allocation to cooperative agents. In: Proceedings of AAMAS, pp. 559–566 (2008)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer Japan
About this chapter
Cite this chapter
Kong, Y., Zhang, M., Ye, D., Luo, X. (2015). RETRACTED CHAPTER: A Negotiation Method for Task Allocation with Time Constraints in Open Grid Environments. In: Fujita, K., Ito, T., Zhang, M., Robu, V. (eds) Next Frontier in Agent-Based Complex Automated Negotiation. Studies in Computational Intelligence, vol 596. Springer, Tokyo. https://doi.org/10.1007/978-4-431-55525-4_2
Download citation
DOI: https://doi.org/10.1007/978-4-431-55525-4_2
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-55524-7
Online ISBN: 978-4-431-55525-4
eBook Packages: EngineeringEngineering (R0)