Abstract
Cloud has become a promising service model for mobile devices. Using cloud services, mobile devices can outsource its computationally intensive operations to the cloud, such as searching, data mining, and multimedia processing. In this service computing model, how to build an economic service provisioning scheme is critical for mobile cloud service providers. Particularly when the mobile cloud resource is restricted. In this paper, we present an economic mobile cloud computing model using Semi-Markov Decision Process for mobile cloud resource allocation. Our model takes the considerations the cloud computing capacity, the overall cloud system gain, and expenses of mobile users using cloud services. Based on the best of our knowledge, our presented model is the first to address the economic service provisioning for mobile cloud services. In the performance evaluation, we showed that the presented economic mobile cloud computing model can produce the optimal system gain with a given cloud service inter-domain transfer probability.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Armbrust, M., Fox, A., Griffith, R., Joseph, A., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., et al.: Above the clouds: A berkeley view of cloud computing. EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2009-28 (2009)
Chun, B., Maniatis, P.: Augmented Smartphone Applications Through Clone Cloud Execution. In: Proceedings of USENIX HotOS XII (2009)
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)
Lyons, K., Pering, T., Rosario, B., Sud, S., Want, R.: Multi-display Composition: Supporting Display Sharing for Collocated Mobile Devices. In: Gross, T., Gulliksen, J., Kotzé, P., Oestreicher, L., Palanque, P., Prates, R.O., Winckler, M. (eds.) INTERACT 2009. LNCS, vol. 5726, pp. 758–771. Springer, Heidelberg (2009)
Ni, W., Li, W., Alam, M.: Determination of optimal call admission control policy in wireless networks. IEEE Transactions on Wireless Communications 8(2), 1038–1044 (2009)
Pering, T., Want, R., Rosario, B., Sud, S., Lyons, K.: Enabling pervasive collaboration with platform composition. In: Proceedings of Perviasive (2009)
Puterman, M.: Markov decision processes: Discrete stochastic dynamic programming. John Wiley & Sons, Inc., New York (2005)
Ramjee, R., Towsley, D., Nagarajan, R.: On optimal call admission control in cellular networks. Wireless Networks 3(1), 29–41 (1997)
Li, X., Zhang, H., Zhang, Y.: Deploying Mobile Computation in Cloud Service. In: Jaatun, M.G., Zhao, G., Rong, C. (eds.) Cloud Computing. LNCS, vol. 5931, pp. 301–311. Springer, Heidelberg (2009)
Zhang, X., Schiffman, J., Gibbs, S., Kunjithapatham, A., Jeong, S.: Securing elastic applications on mobile devices for cloud computing. In: Proceedings of the 2009 ACM Workshop on Cloud Computing Security, pp. 127–134 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Liang, H., Huang, D., Peng, D. (2012). On Economic Mobile Cloud Computing Model. In: Gris, M., Yang, G. (eds) Mobile Computing, Applications, and Services. MobiCASE 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 76. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29336-8_22
Download citation
DOI: https://doi.org/10.1007/978-3-642-29336-8_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29335-1
Online ISBN: 978-3-642-29336-8
eBook Packages: Computer ScienceComputer Science (R0)