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Delay-Optimized Offloading for Mobile Cloud Computing Services in Heterogenous Networks

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Cloud Computing (CloudComp 2013)

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. 1.

    A circularly symmetric complex Gaussian RV \(x\) with mean \(m\) and covariance \(R\) is denoted by \(x \mathrm{\sim }\mathrm{{\mathcal C}{\mathcal N}}(m, R)\).

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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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Correspondence to Kan Zheng .

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05505-3

  • Online ISBN: 978-3-319-05506-0

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