Abstract
Nowadays, big media healthcare data processing in cloud has become an effective solution for satisfying QoS demands of medical users. It can support various healthcare services such as pre-processing, storing, sharing, and analysis of monitored data as well as acquiring context-awareness. However, to support energy and cost savings, the union of cloud data centers termed as cloud confederation can be an promising approach, which helps a cloud provider to overcome the limitation of physical resources. However, the key challenge in it is to achieve multiple contradictory objectives, e.g., meeting the required level of services defined in service level agreement, maintaining medial users’application QoS, etc. while maximizing profit of a cloud provider. In this paper, for executing heterogeneous big healthcare data processing requests from users, we develop a local and global cloud confederation model, namely FnF, that makes an optimal selection decision for target cloud data center(s) by exploiting Fuzzy logic. The FnF trades off in between profit of cloud provider and user application QoS in selecting federated data center(s). In addition, FnF enhances its decision accuracy by precisely estimating the resource requirements for the big data processing tasks using multiple linear regression. The proposed FnF model is validated through numerical as well as experimental evaluations. Simulation results depict the effectiveness and efficiency of the FnF model compared to state-of-the-art approaches.
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Das, A. K., Adhikary, T., Razzaque, Md. A., Hong, C. S.: An intelligent approach for virtual machine and qos provisioning in cloud computing. In: International Conference on Information Networking (ICOIN), pp. 462–467 (2013)
Beloglazov, A., Buyya, R.: Openstack neat: a framework for dynamic and energy-efficient consolidation of virtual machines in openstack clouds. Concurr. Comput. Pract. Exp. 27(5), 1310–1333 (2015)
Goiri, I., Guitart, J., Torres, J.: Characterizing cloud federation for enhancing providers’ profit. In: IEEE 3rd International Conference on Cloud Computing (CLOUD), pp. 123–130 (2010)
Song, B., Hassan, Md M., Alamri, A., Alelaiwi, A., Tian, Y., Pathan, M., Almogren, A.: A two-stage approach for task and resource management in multimedia cloud environment. Computing 98(1—-2), 119–145 (2016)
Khanna, P., Jain, S.: Distributed cloud federation brokerage: a live analysis. In: IEEE/ACM 7th International Conference on Utility and Cloud Computing (UCC), pp. 738–743 (2014)
Mashayekhy, L., Nejad, M.M.: Cloud federations in the sky: formation game and mechanism. Cloud Comput. IEEE Trans. 3(1), 14–27 (2015)
Abdo, J.B., Demerjian, J., Chaouchi, H., Barbar, K., Pujolle, G.: Broker-based cross-cloud federation manager. In: 2013 8th International Conference for Internet Technology and Secured Transactions (ICITST), pp. 244–251, (2013)
Toosi, A.N., Calheiros, R.N., Thulasiram, R.K., Buyya, R.: Resource provisioning policies to increase iaas provider’s profit in a federated cloud environment. In: 2011 IEEE 13th International Conference on High Performance Computing and Communications (HPCC), pp. 279–287 (2011)
Hadji, M., Zeghlache, D.: Mathematical programming approach for revenue maximization in cloud federations. Cloud Comput. IEEE Trans., PP(99):1–1 (2015)
Calheiros, R.N., Ranjan, R., Beloglazov, A., De Rose, C.A., Buyya, R.: Cloudsim: A toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Softw. Pract. Exp. 41(1), 23–50 (2011)
Hassan, M.M., Abdullah-Al-Wadud, M, Almogren, A., Song, B., Alamri, A.: Energy-aware resource and revenue management in federated cloud: a game-theoretic approach. IEEE Syst. J. (2015)
Rochwerger, B., Breitgand, D., Epstein, A., Hadas, D., Loy, I., Nagin, K., Tordsson, J., Ragusa, C., Villari, M., Clayman, S., Levy, E., Maraschini, A., Massonet, P., Muoz, H., Tofetti, G.: Reservoir-when one cloud is not enough. Computer 44(3), 44–51 (2011)
Hassan, M.M., Song, B, Huh, E.-N.: Distributed resource allocation games in horizontal dynamic cloud federation platform. In: 2011 IEEE 13th International Conference on High Performance Computing and Communications (HPCC), pp. 822–827 (2011)
Hassan, M.M., Abdullah-Al-Wadud, M., Almogren, A, Rahman, S.K., Alelaiwi, A, Alamri, A., Hamid, Md., et al. Qos and trust-aware coalition formation game in data-intensive cloud federations. Concurr. Comput. Pract. Exp. (2015). doi:10.1002/cpe.3543
Saad, W., Han, Z., Debbah, M., Hjorungnes, A.: A distributed coalition formation framework for fair user cooperation in wireless networks. Wirel. Commun. IEEE Trans. 8(9), 4580–4593 (2009)
Mashayekhy, L., Grosu, D.: A merge-and-split mechanism for dynamic virtual organization formation in grids. Parallel Distrib. Syst. IEEE Trans. 25(3), 540–549 (2014)
Zhang, Z., Zhang, X.: Realization of open cloud computing federation based on mobile agent. In: IEEE International Conference on Intelligent Computing and Intelligent Systems, 2009. ICIS 2009, vol. 3, pp. 642–646 (2009)
Casola, V., Rak, M., Villano, U.: Identity federation in cloud computing. In: 2010 Sixth International Conference on Information Assurance and Security (IAS), pp. 253–259 (2010)
Coulouris, G., Dollimore, J., Kindberg, T., Blair, G.: Distributed Systems: Concepts and Design, 5th edn. Addison-Wesley Publishing Company, USA (2011)
Rochwerger, B., Breitgand, D., Levy, E., Galis, A., Nagin, K., Llorente, I.M., Montero, R., Wolfsthal, Y., Elmroth, E., Cáceres, J., Ben-Yehuda, M., Emmerich, W., Galán, F.: The reservoir model and architecture for open federated cloud computing. IBM J. Res. Dev. 53(4), 535–545 (2009)
Patel, K.S., Sarje, A.K.: VM provisioning method to improve the profit and sla violation of cloud service providers. In: 2012 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM), pp. 1–5 (2012)
Das, A.K., Adhikary, T., Razzaque, Md.A., Cho, E.J., Hong, C.S.: A qos and profit aware cloud confederation model for iaas service providers. In: Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication, ICUIMC ’14, pp. 42:1–42:7, Siem Reap, Cambodia, ACM (2014)
Shpiner, A., Keslassy, I., Arad, C., Mizrahi, T., Revah, Y.: Sal: Scaling data centers using smart address learning. In: 2014 10th International Conference on Network and Service Management (CNSM), pp. 248–253 (2014)
Xu, W., Huang, L., Fox, A., Patterson, D., Jordan, M.I.: Online system problem detection by mining patterns of console logs. In: Ninth IEEE International Conference on Data Mining, 2009. ICDM ’09, pp. 588–597 (2009)
Lin, Z.-C., Wu, W.-J.: Multiple linear regression analysis of the overlay accuracy model. Semicond. Manuf. IEEE Trans. 12(2), 229–237 (1999)
Jiang, Y., Perng, C.-S., Li, T., Chang, R.N.: Cloud analytics for capacity planning and instant VM provisioning. IEEE Trans Netw Serv. Manag. 10(3), 312–325 (2013)
Zadeh, L.A.: Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets Syst. 100, 9–34 (1999)
Akramizadeh, A., Akbarzadeh-T, M.-R., Khademi, M.: Fuzzy discrete event system modeling and temporal fuzzy reasoning in urban traffic control. In Automation Congress, 2004. Proceedings. World, vol. 16, pp. 181–186 (2004)
Mamdani, E.H., Assilian, S.: An experiment in linguistic synthesis with a fuzzy logic controller. Int. J. Man Mach. Stud. 7(1), 1–13 (1975)
Mohammad, G.: Automatic speech recognition using interlaced derivative pattern for cloud based healthcare system. Cluster Comput. 18(2), 795–802 (2015)
Hossain, M.S., Alamri, A., El Saddik, A.: A biologically inspired framework for multimedia service management in a ubiquitous environment. Concurr. Comput. Pract. Exp. 21(11), 1450–1466 (2009)
Hossain, M.S., Muhammad, G.: Cloud-assisted Industrial Internet of Things (IIoT)—enabled framework for health monitoring. Comput. Netw. 101(2016), 192–202 (2016)
Hossain, M.S., Zaman, M., Muhammad, G., Ghoneim, A., Alamri, A.: Big data-driven services composition using parallel clustered particle swarm optimization in mobile environment. IEEE Trans. Serv. Comput. 9(5), 806–817 (2016)
Hassan, M.M., et al.: Cooperative game-based distributed resource allocation in horizontal dynamic cloud collaboration platform. Inf. Syst. Frontiers 16(4), 523–542 (2014)
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This work was funded by the National Plan for Science, Technology and Innovation (MAARIFAH), King Abdulaziz City for Science and Technology, Kingdom of Saudi Arabia, Award Number (12-INF2885-02).
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Das, A.K., Adhikary, T., Razzaque, M.A. et al. Big media healthcare data processing in cloud: a collaborative resource management perspective. Cluster Comput 20, 1599–1614 (2017). https://doi.org/10.1007/s10586-017-0785-8
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DOI: https://doi.org/10.1007/s10586-017-0785-8