A new cost-effective mechanism for VM-to-user mapping in cloud data centers

Repschlaeger, J., Erek, K., Zarnekow, R.: Cloud computing adoption: an empirical study of customer preferences among start-up companies. Electron. Mark. 23, 115–148 (2013)

Zhang, Q., Zhu, Q., Boutaba, R.: Dynamic resource allocation for spot markets in cloud computing environments. In: Proceeding of the 4th IEEE International Conference on Utility and Cloud Computing, Melbourne. IEEE; pp. 178–185 (2011)

Buyya, R., Pandey, S., Vecchiola, C.: Market-Oriented Cloud Computing and the Cloudbus Toolkit. Wiley Press, New York (2011)

Li, J., Yahyapor, R.: A strategic negotiation model for grid scheduling. In: Cluster Computing and the Grid. CCGRD 06, pp. 574–583 (2006)

Sim, K.M.: Grid resource negotiation: survey and new directions. IEEE Trans. Syst. Man Cybern. Part C 40(3), 245–257 (2010)

Chen, J., Han, X., Jiang, G.: A negotiation model based on multi-agent system under cloud computing. The Ninth International Multi-Conference on Computing in the Global Information Technology (ICCGI 2014), pp. 157–214 (2014)

Sandholm, T.: Agents in electronic commerce: component technologies for automated negotiation and coalition formation. Auton. Agent. Multi-Agent Syst. 3(1), 73–96 (2000)

Sim, K.M.: Negotiation agents that make prudent compromises and are slightly flexible in reaching consensus. Comput. Intell. 20(4), 643–662 (2004)

EsmaeiliGookeh, M., Tarokh, M.J.: Customer lifetime value models: a literature survey. Int. J. Ind. Eng. Prod. Res. 24(4), 317–336 (2013)

Hederstierna, A., Sallberg, H.: Bronze, silver and gold: effective membership design in customer rewards programs. Electron. J. Inform. Syst. Eval. 12(1), 9–66 (2009)

Al-Roomi, M., Al-Ebrahim, Sh, Buqrais, S., Ahmad, I.: Cloud computing pricing models: a survey. Int. J. Grid Distrib. Comput. 6, 93–106 (2013)

Zhang, Z., Li, Z. Wu, C.: Optimal posted prices for online cloud resource allocation. In: 2017 ACM SIGMETRICS/International Conference on Measurement and Modeling of Computer Systems, Urbana-Champaign, https://doi.org/10.1145/3078505.3078529 (2017)

Toosi, A.N.: On the economics of infrastructure as a service cloud providers: pricing, markets, and profit maximization. Ph.D. Thesis, The University of Melbourne (2014)

Zaman, S., Grosu, D.: Combinatorial auction-based allocation of virtual machine instances in clouds. J. Parallel Distrib. Comput. 73(4), 495–508 (2013)

Samimi, P., Teimouri, Y., Mukhtar, M.: A combinatorial double auction resource allocation model in cloud computing. Inform. Sci. 357, 201–216 (2016)

Sim, K.M.: Grid commerce, market-driven G-negotiation, and grid resource management. IEEE Trans. Syst. Man Cybern. Part B 36, 1381–1394 (2006)

Sim, K.M.: Equilibria, prudent compromises, and the “Waiting” game. IEEE Trans. Syst. Man Cybern. Part B 35, 712–724 (2005)

Sim, K.M., Wang, S.Y.: Flexible negotiation agent with relaxed decision rules. IEEE Trans. Syst. Man Cybern. Part B 34(3), 1602–1608 (2004)

Sim, K.M., Ng, K.F.: Relaxed-criteria negotiation for grid resource allocation. Int. Trans. Syst. Sci. Appl. 3(2), 105–117 (2007)

Sim, K.M.: Evolving fuzzy rules for relaxed-criteria negotiation. IEEE Trans. Syst. Man Cybern. Part B (Cybernetics) 38(6), 1486–1500 (2008)

Adabi, S., Movaghar, A., Rahmani, A.M., Beigy, H.: Negotiation strategies considering market, time and behavior functions for resource allocation in computational grid. J. Supercomput. 66, 1350–1389 (2013)

Adabi, S., Movaghar, A., Rahmani, A.M., Beigy, H.: Market_based grid resource allocation using new negotiation model. J. Netw. Comput. Appl. 36, 543–565 (2013)

Adabi, S., Movaghar, A., Rahmani, A.M., Beigy, H.: A new fuzzy negotiation protocol for grid resource allocation. J. Netw. Comput. Appl. 37, 89–126 (2014)

Adabi, S., Adabi, S.: A BBO based procedure for evolving fuzzy rules of relaxed-criteria negotiation in grid resource allocation. IJCSI Int. J. Comput. Sci. 12(4), 17–35 (2015)

Sim, K.M.: Towards a unifying multilateral cloud negotiation strategy. In: Proceedings of the International Multi Conference of Engineers and Computer Scientists vol I, IMECS, pp. 13–15 (2013)

Sim, K.M.: Complex and concurrent negotiations for multiple interrelated e-markets. IEEE Trans. Cybern. 43(1), 230–245 (2013)

Javed, B., Bloodsworth, P., Rasool, R.U., Munir, K., Rana, O.: Cloud market maker: an Automated dynamic pricing marketplace for cloud users. Future Gener. Comput. Syst. 54, 52–67 (2016)

He, K., Huang, C., Li, Z., Shi, J., Shi, A.: An online auction for deadline-aware dynamic cloud resource provisioning. IEEE 22nd International conference on parallel and distributed systems (ICPADS), Wuhan, pp. 677–684 (2016)

Kumar Awasthi, S., Vij, S.R., Mukhopadhyay, D., Agrawal, A.J.: Multi-strategy based automated negotiation: BGP based architecture. International Conference on Computing, Communication and Automation (ICCCA), Noida, pp. 588–593 (2016)

Zhang, Y., Xu, K., Shi, X., Wang, Y.: Design, modeling, and analysis of online combinational double auction for mobile cloud computing markets. Int. J. Commun Syst 31(7), 34–60 (2018)

Adabi, S., Mosadeghi, M., Yazdani, S.: A real-world inspired multi-strategy based negotiating system for cloud service market. J. Cloud Comput. Adv. Syst. Appl. 7(17), 1–40 (2018)

Kand, A.S.Y., Kazem, A.A.P.: Combinational double auction winner determination in cloud computing using hybrid genetic and simulated annealing algorithm. Int. J. Adv. Comput. Sci. Appl. 9(1), 435–436 (2018)

Zhang, J., Xie, N., Zhang, X., Li, W.: An online auction mechanism for cloud computing resource allocation and pricing based on user evaluation and cost. Future Gener. Comput. Syst. 89, 286–299 (2018)

Bhan, R., Singh, A., Pamula, R., Faruki, P.: Auction based scheme for resource allotment in cloud computing. In: Patnaik, S., Yang, X.S., Tavana, M., Popentiu-Vlădicescu, F., Qiao, F. (eds.) Digital Business. Lecture Notes on Data Engineering and Communications Technologies, vol. 21. Springer, Cham (2019)

Baranwal, G., Kumar, D., Raza, Z., Vidyarthi, D.P.: A negotiation based dynamic pricing heuristic in cloud computing. Int. J. Grid Util. Comput. 9(1), 83–96 (2018)

Nejad, M.M., Mashayekhy, L., Grosu, D.: A family of truthful greedy mechanisms for dynamic virtual machine provisioning and allocation in clouds. In: Proceeding of the IEEE Sixth International Conference Cloud Computing, pp. 188–195 (2013)

Nadjaran Toosi, A., Van Mechelen, K., Buyya, R.: An auction mechanism for a cloud spot market. TAAS 11, 1–35 (2014)

Sim, K.M.: Agent-based cloud computing. IEEE Trans. Serv. Comput. 5(4), 564–577 (2012)

Sim, K.M., Ng. K.F.: A relaxed-criteria bargaining protocol for grid resource management. In: Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid Workshops (CCGRIDW’06), Singapore, vol. 2, pp. 8 (2006)

Ross, T.J.: Fuzzy Logic with Engineering Applications. McGraw-Hill, New York (1995)

Zalaghi, Z., Abbasnejad Varzi, Y.: Measuring customer loyalty using an extended RFM and clustering technique. Manag. Sci. Lett. 4, 905–912 (2018)

Ghaleb Magatef, S., Fakhri Tomalieh, E.: The impact of customer loyalty program on customer retention. Int. J. Bus. Soc. Sci. 6(8), 78–93 (2015)

Kervizic, J.: On customer lifetime value in ecommerce. Accessed 13 May 2019

Calheiros, R., Ranjan, R., Beloglazov, A., De Rose, C.A.F., Buyya, R.: CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Software: Practice and Experience (SPE), vol. 41, pp. 23–50. Wiley Press, New York (2011)

Zhang, L., Li, Z., Wu, C.: Dynamic Resource Provisioning in Cloud Computing: A Randomized Auction Approach, pp. 433–441. INFOCOM, Toronto (2014)