Abstract
Offloading is an efficient method for extending the lifetime and speeding up the execution rate of mobile devices by executing remotely in mobile cloud computing (MCC) networks. Meanwhile, heterogeneous network (HetNet), which has multiple types of radio access nodes in the network, is widely accepted as a promising way to satisfy the increased traffic demand. In this paper, we first propose two delay-optimized offloading control schemes in LTE-Advanced heterogeneous networks. One of them is to control the number of offloading users by setting a threshold. Another is to determine whether the users are suited to offload by estimating the execution delay. Both of them take the traffic load of serving cell and neighbouring cells into account. For comparison purpose, the delay performance of different schemes are evaluated by simulations in not only heterogeneous network but also macro-only network.
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Notes
- 1.
A circularly symmetric complex Gaussian RV \(x\) with mean \(m\) and covariance \(R\) is denoted by \(x \mathrm{\sim }\mathrm{{\mathcal C}{\mathcal N}}(m, R)\).
References
Dinh, H. T., Lee, C., Niyato, D., Wang, P.: A survey of mobile cloud computing: architecture, applications, and approaches. Wireless Communications and Mobile Computing (2011)
Mayo, R.N., Ranganathan, P.: Energy consumption in mobile devices: why future systems need requirements-aware energy scale-down. In: Falsafi, B., VijayKumar, T.N. (eds.) PACS 2003. LNCS, vol. 3164, pp. 26–40. Springer, Heidelberg (2005)
Rudenko, A., Reiher, P., Popek, G.J., Kuenning, G.H.: Saving portable computer battery power through remote process execution. J. ACM SIGMOBILE Mob. Comput. Commun. Rev. 2, 19–26 (1998)
Kumar, K., Lu, Y.-H.: Cloud computing for mobile users: can offloading computation save energy? Computer 43, 51–56 (2010)
Kremer, U., Hicks, J., Rehg, J.: A compilation framework for power and energy management on mobile computers. In: Dietz, H.G. (ed.) LCPC 2001. LNCS, vol. 2624, pp. 115–131. Springer, Heidelberg (2003)
Gitzenis, S., Barnbos, N.: Joint task migration and power management in wireless computing. IEEE Trans. Mob. Comput. 8, 1189–1204 (2009)
Wen, Y., Zhang, W., luo, H.: Energy-optimal mobile application execution: taming resource-poor mobile devices with cloud clones. In: 2012 Proceedings of the IEEE INFOCOM, Orlando, pp. 2716–2720. IEEE (2012)
Huang, D., Wang, P., Niyato, D.: A dynamic offloading algorithm for mobile computing. IEEE Trans. Wirel. Commun. 11, 1991–1995 (2012)
Lei, L., Zhong, Z., Zheng, K., et al.: Challenges on wireless heterogeneous networks for mobile cloud computing. IEEE Wirel. Commun. 20, 1 (2013)
3GPP TR 36.814, v2.0.0.: Further Advancements for E-UTRA, Physical Layer Aspects (2010)
Acknowledgment
This work was supported by the National Natural Science Foundation of China (No. 61271183), Program for New Century Excellent Talents in University (NCET-11-0600), the National Key Technology R&D Program of China under Grant (2012ZX02001-2), and Chinese Universities Scientific Fund under Grant 2013RC0116.
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© 2014 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zheng, K., Meng, H., Zhu, H., Lin, K., Cai, W., Long, H. (2014). Delay-Optimized Offloading for Mobile Cloud Computing Services in Heterogenous Networks. In: Leung, V., Chen, M. (eds) Cloud Computing. CloudComp 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 133. Springer, Cham. https://doi.org/10.1007/978-3-319-05506-0_12
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DOI: https://doi.org/10.1007/978-3-319-05506-0_12
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