Abstract
In view of the incomplete cloud market model and related mechanisms, and also the poor performance of cloud against malicious and false service, combined with the theory of self-organization system, multi-agent technology and trust, this paper introduced a trust-enabled three-tier cloud market model. The theory of self-organization system can well describe the dynamic relationship between inter-entity in the cloud service market, because it ensures the autonomy and intelligence of the market entities, and relies on the autonomous cooperation between them to adapt to the continuous changing, uncertain and open cloud environment. The implementation of market behavior by intelligent agents instead of cloud entities, realizes the decentralization and parallelization of service processing. In addition, trust factor is introduced into the model construction process in order to improve the ability of cloud market against malicious behavior. Finally, simulation experiments show that the new model can accelerate the differentiation and balance of cloud service market and improve the success rate of transactions.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Liu, P.: Cloud Computing, 3rd edn. Electronic Industry, Beijing (2015)
Buyya, R., Yeo, C.S., Venugopal, S.: Market-oriented cloud computing: vision, hype, and reality for delivering it services as computing utilities. In: Proceedings of 10th IEEE International Conference on High Performance Computing and Communications, pp. 5–13 (2008)
Song, B., Hassan, M.M., Huh, E.N.: A novel cloud market infrastructure for trading service. In: Proceedings of International Conference on Computational Science and Its Applications, pp. 44–50 (2009)
Do, C.T., Tran, N.H., Tran, D.H., Pham, C., et al.: Toward service selection game in a heterogeneous market cloud computing. In: Proceedings of the 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM2015), pp. 44–52 (2015)
Ma, X., Liu, L.: Research of multiple cloud computing resource allocation and pricing based on the combinatorial double auction and trust. Sci. Technol. Eng. 15(1), 100–105 (2015)
Sim, K.M.: Agent-based cloud commerce. In: Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, pp. 717–721 (2006)
Sim, K.M.: Towards complex negotiation for cloud economy. In: Bellavista, P., Chang, R.-S., Chao, H.-C., Lin, S.-F., Sloot, P.M.A. (eds.) GPC 2010. LNCS, vol. 6104, pp. 395–406. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-13067-0_42
Gutierrez-Garcia, J.O., Sim, K.M.: Agent-based cloud bag-of-tasks execution. J. Syst. Softw. 104, 17–31 (2015)
Son, S., Sim, K.M.: Adaptive and similarity-based tradeoff algorithms in a price-timeslot-QoS negotiation system to establish cloud SLAs. Inf. Syst. Front. 17(3), 565–589 (2015)
Sim, K.M.: Complex and concurrent negotiations for multiple interrelated e-markets. IEEE Trans. Cybern. 43, 230–245 (2013)
Li, X., Gui, X.: Cognitive model of dynamic trust forecasting. J. Softw. 21(1), 163–176 (2010)
Pan, J., Xu, F., Lv, J.: Reputation-based recommender discovery approach for service selection. J. Softw. 21(2), 388–400 (2010)
Hu, J., Wu, Q., Zhou, B., Liu, J.: Robust feedback credibility-based distributed P2P trust model. J. Softw. 20(10), 2885–2898 (2009)
Shouxin, W., Li, Z., Hesong, L.: Evaluation approach of subjective trust based on cloud model. J. Softw. 21(6), 1341–1352 (2010)
Juan, D.: Simulation of algorithm for P2P network node trust path optimization. Comput. Simul. 31(2), 362–365 (2014)
Qiao, L., Hui, H., Binxing, F., Hongli, Z., et al.: Awareness of network group Anomalous behaviors based on network trust. Chin. J. Comput. 37(1), 1–14 (2014)
Xiaolan, X., Liang, L., Peng, Z.: Trust model based on double incentive and deception detection for cloud computing. J. Electron. Inf. Technol. 34(4), 812–817 (2012)
Duan, K.R., Zhang, G.X.: Multi-objective immuse system algorithm for task scheduling in cloud computing. J. Comput. Appl. 36(2), 324–329 (2016)
Ni, Z.W., Li, R.R., Fang, Q.H., Pang, S.S.: Optimization of cloud task scheduling based on discrete artificial bee colony algorithm. J. Comput. Appl. 36(1), 107–112, 121 (2016)
Zhang, H.W., Wei, B., Wang, J.D., He, J.J.: Cloud resource scheduling method based on estimation of distribution shuffled frog leaping algorithm. Appl. Res. Comput. 31(11), 3225–3233 (2014)
Jade Company: JADE Document (2017). http://jade.tilab.com/
Acknowledgments
This work was supported by a grant from National Natural Science Foundation of China Nos. 61402144, 61472253 and 61702151”, Zhejiang Provincial Natural Science Foundation No. LY17E070004 and the Research Project for Department of Education of Zhejiang Province No. Y201635438.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Li, W., Cao, J., Wu, J., Hu, K. (2017). A Trust-Based Service Self-organizing Model for Cloud Market. In: Wang, G., Atiquzzaman, M., Yan, Z., Choo, KK. (eds) Security, Privacy, and Anonymity in Computation, Communication, and Storage. SpaCCS 2017. Lecture Notes in Computer Science(), vol 10658. Springer, Cham. https://doi.org/10.1007/978-3-319-72395-2_23
Download citation
DOI: https://doi.org/10.1007/978-3-319-72395-2_23
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-72394-5
Online ISBN: 978-3-319-72395-2
eBook Packages: Computer ScienceComputer Science (R0)