Abstract
In this paper, to deploy scientific application service among advanced computing applications to the mobile cloud environment, we integrate mobile cloud system with policy-based resource management providing SLA adaptive resource management called as mobile cloud broker. However, we do not use the conventional policy-based resource management because of some problems which cannot guarantee the performance of cloud resource required by user. To resolve this problem, we propose the policy based resource management for the mobile cloud system providing scientific application service to provide the cost efficient SLA adaptive resource management to guarantee SLA required by cloud service user while minimizing cost. We describe the function and architecture of mobile cloud broker and the proposed policy-based resource management scheme in the mobile cloud broker. In addition, we show that the proposed policy-based resource management guarantee the QoS of scientific application and reduces the cost compared to the conventional cloud broker system through the evaluation.
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References
Srirama, S.N., Paniagua, C., Flores, H.: CroudSTag: social group formation with facial recognition and mobile cloud services. Procedia Comput. Sci. 5, 633–640 (2011)
Ostermann, S., Iosup, A., Yigitbasi, N.M., Prodan, R., Fahringer, T., Epema, D.: An early performance analysis of cloud computing services for scientific computing. Technical report PDS-2008-006, TU Delft, 3 December 2008. http://www.eecs.berkeley.edu/Pubs/TechRpts/2009/EECS-2009-28.html
Yu, J., Buyya, R.: Scheduling Scientific Workflow Applications with Deadline and Budget Constraints Using Genetic Algorithms Scientific Programming, pp. 217–230. IOS Press, Amsterdam (2006)
Huang, D., Zhang, X., Kang, M., Luo, J.: Mobicloud: a secure mobile cloud framework for pervasive mobile computing and communication. In: Proceedings of 5th IEEE International Symposium on Service-Oriented System Engineering (2010)
Yang, X., Pan, T., Shen, J.: On 3G mobile e-commerce platform based on cloud computing, pp. 198–201, August 2010
Gao, H., Zhai, Y.: System design of cloud computing based on mobile learning. In: Proceedings of the 3rd International Symposium on Knowledge Acquisition and Modeling (KAM), pp. 293–242, November 2010
Doukas, C., Pliakas, T., Maglogiannis, I.: Mobile healthcare information management unitizing cloud computing and android OS. In: Annual International Conference of the IEEE on Engineering in Medicine and Biology Society (EMBC), pp. 1037–1040, October 2010
Yao, J., et al.: Facilitating bioinformatic research with mobile cloud. In: The Second International Conference on Cloud Computing, GRIDs, and Virtualization, CLOUD COMPUTING 2011 (2011)
Ren, Y.: A cloud collaboration system with active application control scheme and its experimental performance analysis, Master thesis, Korea Advanced Institute of Science and Technology (2012)
Farley, B., et al.: More for your money: exploiting performance heterogeneity in public clouds. In: Proceedings of the Third ACM Symposium on Cloud Computing. ACM (2012)
Openstack foundation (2012). http://www.openstack.org/
Dalby, A., Nourse, J.G., Hounshell, W.D., Gushurst, A.K.I., Grier, D.L., Leland, B.A., Laufer, J.: Description of several chemical structure file formats used by computer programs developed at molecular design limited. J. Chem. Inf. Model. 32(3), 244 (1992)
Kang, D.-K., et al.: Cost adaptive workflow scheduling in cloud computing. In: Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication. ACM (2014)
CPU model rank table. http://www.cpubenchmark.net/
Sakellariou, R., Zhao, H.: Scheduling workflows with budget constraints. In: Gorlatch, S., Danelutto, M. (eds.) Integrated Research in GRID Computing. CoreGRID Series, pp. 189–202. Springer, New York (2007)
Changkun, W.: Policy-based network management. In: Proceedings of IEEE WCC 2000-ICCT (2000). inf.ufrgs.br
Simplifying network administration using policy-based management - DC Verma, IBMTJWR Center, Y Heights - Network, IEEE (2002). ieeexplore.ieee.org
Acknowledgments
This research was supported by Next-Generation Information Computing Development Program through the NRF funded by the Ministry of Education, Science and Technology (2010-0020732) and the MSIP (Ministry of Science, ICT & Future Planning), Korea in the ICT R&D Program 2014.
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© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Kim, W., Youn, CH. (2015). A Policy-Based Application Service Management in Mobile Cloud Broker. In: Leung, V., Lai, R., Chen, M., Wan, J. (eds) Cloud Computing. CloudComp 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 142. Springer, Cham. https://doi.org/10.1007/978-3-319-16050-4_2
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DOI: https://doi.org/10.1007/978-3-319-16050-4_2
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