A Broker-Based Self-organizing Mechanism for Cloud-Market

  • Jie Xu
  • Jian Cao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8707)


Cloud computing becomes an increasingly popular computing paradigm which leads to an increasingly sophisticated and growing influence of the social business model for cloud computing. A robust and orderly operating mechanism is the foundation of the maturity and stability of cloud commerce market. Since the cloud commerce negotiation is a dynamic and adaptive process, an approach of self-organizing based on multi-agent systems is proposed to achieve the required macroscopic properties of locally interacting agents in cloud market. The novel establishes a three-layered self-organizing multi-agents mechanism to support cloud commerce parallel negotiation activities. Purpose of our work is simulating the mechanism to follow the trend of development in line with economic market rules between cloud consumer and cloud provider. The experimental results indicate that the multi-agents system is successful in handling the commerce negotiation and completing expected requirements.


cloud computing multi-agent systems self-organizing 


  1. 1.
    Armbrust, M., et al.: A view of cloud computing. Communications of the ACM 53(4), 50–58 (2010) Google Scholar
  2. 2.
    Weiss, A.: Computing in the Clouds. netWorker 11(4), 16–25 (2007)CrossRefGoogle Scholar
  3. 3.
    Twenty Experts Define Cloud Computing,
  4. 4.
    Foster, I., et al.: Cloud Computing and Grid Computing 360-Degree Compared. In: Grid Computing Environments Workshop, pp. 1–10 (2008)Google Scholar
  5. 5.
    Buyya, R., Yeo, C.S., Venugopal, S.: Market-oriented cloud computing: Vision, hype, and reality for delivering it services as computingutilities. In: High Performance Computing and Communications, pp. 5–13 (2008)Google Scholar
  6. 6.
  7. 7.
    Holland, J.H., Miller, J.H.: Artificial adaptive agents in economic theory. American Economic Review 81(2), 365–370 (1991)Google Scholar
  8. 8.
    Buyya, R., Abramson, D., Venugopal, S.: The Grid Economy. Proceedings of the IEEE 93(3), 698–714 (2005)CrossRefGoogle Scholar
  9. 9.
    Song, B., Hassan, M.M.: EN Huh A novel Cloud market infrastructure for trading service. Computational Science and Its Applications, pp. 44–50 (2009)Google Scholar
  10. 10.
    Grosu, D., Das, A.: Auction-based resource allocation protocols in grids. In: The 16th IASTED International Conference on Parallel and Distributed Computing and Systems, pp. 20–27 (2004)Google Scholar
  11. 11.
    Han, S.-M., Mehedi Hassan, M., Yoon, C.-W., Lee, H.-W., Huh, E.-N.: Efficient service recommendation system for cloud computing market. In: Ślęzak, D., Kim, T.-h., Yau, S.S., Gervasi, O., Kang, B.-H. (eds.) GDC 2009. CCIS, vol. 63, pp. 117–124. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  12. 12.
    Sim, K.M.: Agent-Based Cloud Commerce. Industrial Engineering and Engineering Management, 717–721 (2009)Google Scholar
  13. 13.
    Sim, K.M.: A market-driven model for designing negotiation agents. Comput. Intell. 18(4), 618–637 (2002)CrossRefMathSciNetGoogle Scholar
  14. 14.
    Sim, K.M.: Towards Complex Negotiation for Cloud Economy. Advances in Grid and Pervasive Computing, 395–406 (2010)Google Scholar
  15. 15.
    Klos, T.B., Nooteboom, B.: Agent-based computational transaction cost economics. Journal of Economic Dynamics and Control, 503–526 (2001)Google Scholar
  16. 16.
    Tan, P.-N., Steinbach, M., Kumar, V.: Introduction to Data Mining, pp. 499–501. Addison-Wesley (2005)Google Scholar
  17. 17.
    Quinlan, J.R.: induction of decision trees. Machine Learning 1(1), 81–106 (1986)Google Scholar
  18. 18.
    Quinlan, J.R.: Decision trees and multi-valued attributes. In: Hayes, Michie, & Richards, Mechine intelligence, vol. 11, pp. 305–318. Oxford University Press, Oxford (1988)Google Scholar
  19. 19.
    Mitchell, T.M.: Machine Learning, pp. 38–56. McGraw-Hill (1997)Google Scholar
  20. 20.
    JADE document,
  21. 21.
    Georgeff, M., Pell, B., Pollack, M., et al.: The Belief- Desire-Intent ion Model of Agency. In: Proc of the 5th Workshop on Agent Theories, Architectures, and Language, pp. 1–10 (1999)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2014

Authors and Affiliations

  • Jie Xu
    • 1
  • Jian Cao
    • 1
  1. 1.School of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghaiChina

Personalised recommendations