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Integrated Multi-service Handoff Mechanism with QoS-Support Strategy in Mobile Cloud Computing

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Abstract

Mobile devices are becoming the primary platforms for many users who always roam around and access the cloud computing applications. Using cloud computing services extensively and offloading local applications to the cloud, facilitate mobile devices keep multiple services online at the same time. Since the mobile device may move fast and session handoff among access networks comes up frequently, multiple services initiate handoff procedure results in lots of redundant signaling. The current handoff mechanisms only make the handoff control for each service individually, which brings much unnecessary energy consumption and ignores the different Quality of Service (QoS) requirement during handoff execution. To solve these issues, we propose an improved multi-services handoff mechanism, which uses the list method of session initial protocol to make all active services execute handoff together. And considering to support the QoS for each active service during handoff procedure, the differentiate policy for multi-service media transfer is included based on the integrated handoff signaling. Analytic model and simulation are developed to investigate the new mechanism. The results demonstrate that the improved multi-service handoff mechanism can efficiently save energy consumption for mobile devices and realize seamless handoff.

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References

  1. Khan, A. R., Othman, M., Madani, S. A., & Khan, S. U. (2014). A survey of mobile cloud computing application models. IEEE Communications Surveys and Tutorials, First Quarter, 393–413.

    Article  Google Scholar 

  2. Fernando, N., Loke, S. W., & Rahayu, W. (2013). Mobile cloud computing: A survey. Future Generation Computer Systems, 29(1), 84–106.

    Article  Google Scholar 

  3. GPP TS 23.228, V.13.1.0. IP Multimedia System (IMS), 2014.12.

  4. Dinh, H. T., Lee, C., Niyato, D., & Wang, P. (2013). A survey of mobile cloud computing architecture, applications, and approaches. Wireless Communications and Mobile Computing, 13(18), 1587–1611.

    Article  Google Scholar 

  5. Ryu, S., Lee, K., & Mun, Y. (2012). Optimized fast handover scheme in Mobile IPv6 networks to support mobile users for cloud computing. The Journal of Supercomputing, 59(2), 658–675.

    Article  Google Scholar 

  6. Choi, M., Park, J., & Jeong, Y.-S. (2013). Mobile cloud computing framework for a pervasive and ubiquitous environment. The Journal of Supercomputing, 64(2), 331–356.

    Article  Google Scholar 

  7. Vrat, A., Sachan, M., Dinker, A. G., Arora, D., Vaish, A., & Venkatesan S. (2011). Performance analysis of enhanced mobility model in cloud computing. Recent Trends in Information Technology (ICRTIT), pp. 638–643, June 3–5, 2011.

  8. Yang, Z., Liu, X., Hu Z., & Yuan, C. (2014). Seamless service handoff based on delaunay triangulation for mobile cloud computing. Wireless Personal Communications. doi:10.1007/s11277-014-2229-6.

  9. Ravi, A., & Peddoju, S. K. (2015). Handoff strategy for improving energy efficiency and cloud service availability for mobile devices. Wireless Personal Communications, 81, 101–132.

    Article  Google Scholar 

  10. Yang, X., Huanga, X., & Liu, J. K. (2015). Efficient handover authentication with user anonymity and untraceability for mobile cloud computing. Future Generation Computer Systems. doi:10.1016/j.future.2015.09.028.

    Google Scholar 

  11. Ko, H., Lee, G., Pack, S., & Kweon, K. (2015). Timer-based bloom filter aggregation for reducing signaling overhead in distributed mobility management. IEEE Transactions on Mobile Computing. doi:10.1109/TMC.2015.2411603.

    Google Scholar 

  12. Kim, K.-H., Lee, S.-J., & Congdon, P. (2012) On cloud-centric network architecture for multi-dimensional mobility. ACM SIGCOM workshop on Mobile Cloud Computing, August 17, 2012.

  13. Bifulco, R., Brunner, M., & Canonico, R. (2012) Scalability of a mobile cloud management system. ACM SIGCOM workshop on Mobile Cloud Computing, August 17, 2012.

  14. Tuncer, H., Nozaki, Y., & Shenoy N. (2012) Virtual mobility domains-A mobility architecture for the future Internet. IEEE International Conference on Communication (ICC), pp. 2774–2779, June 10–15, 2012.

  15. Felemban, M., Basalamah, S., & Ghafoor, A. (2013). A distributed cloud architecture for mobile multimedia services. IEEE Network, 27(5), 20–27.

    Article  Google Scholar 

  16. Mitra, K., Saguna, S., Åhlund, C., & Granlund, D. (2015) M2C2: A mobility management system for mobile cloud computing. IEEE Wireless Communications and Networking Conference (WCNC), pp. 1608–1613, March 9–12, 2015.

  17. Hsieh, H.-C., & Chen, J.-L. (2014) Distributed multi-agent scheme support for service continuity in IMS-4G-Cloud networks. Computers and Electrical Engineering, 42, 49–59.

    Article  Google Scholar 

  18. Zhang, L., Liao, J., Wang, J., Li, T., & Qi, Q. (2014). Design of improved Luby transform codes with decreasing ripple size and feedback. IET Communications, 8(8), 1417–1424.

    Article  Google Scholar 

  19. Qi, Q., Liao, J., & Cao, Y. (2013) Integrated multiple services handoff in mobile cloud computing. IEEE Global Information Infrastructure and Networking Symposium (GIIS), October 28–31, 2013.

  20. Yuan, J., Wang, Y., Liu, F., & Zheng, L. (2010). Optimized handover scheme using IEEE 802.21 MIH service in multi-service environment. IEEE 71st Vehicular Technology Conference, pp. 1–5, May 16–19, 2010.

  21. Nandhini, U., & TamilSelvan, L. (2014). Computational analytics of client awareness for mobile application offloading with cloud migration. KSII Transactions on Internet and Information Systems, 8(11), 3916–3939.

    Google Scholar 

  22. Barbera, M.V., Kosta, S., Mei, A., & STEFA, J. (2013) To offload or not to offload? The bandwidth and energy costs of mobile cloud computing. IEEE INFOCOM, pp. 1285–1293, April 14–19, 2013.

  23. Liao, J., Qi, Q., Zhu, X., Cao, Y., & Li, T. (2010). Enhanced IMS handoff mechanism for QoS support over heterogeneous network. Computer Journal, 53(10), 1719–1737.

    Article  Google Scholar 

  24. Vidal, I., Garcia-Reinoso, J., de la Oliva, A., Bikfalvi, A., & Soto, I. (2010). Supporting mobility in an IMS-based P2P IPTV service: A proactive context transfer mechanism. Computer Communications, 33(14), 1736–1751.

    Article  Google Scholar 

  25. GPP TS 23.107 V12.0.0, QoS Concept and Architecture, 2014.9.22.

  26. Garcia-Martin, M. & Camarillo, G. (2008) Multiple-recipient MESSAGE requests in the session initiation protocol (SIP). IETF RFC, 5365.

  27. Qi, Q., Liao, J., Cao, Y., & Wang, J. (2014). A self-adaption handoff mechanism for multimedia services in mobile cloud computing. IEEE 80 st Vehicular Technology Conference (VTC), 1–5.

  28. Munasinghe, K. S., & Jamalipour, A. (2010). An analytical evaluation of mobility management in integrated WLAN-UMTS networks. Computers and Electrical Engineering, 36(4), 735–751.

    Article  MATH  Google Scholar 

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Acknowledgments

This research was jointly supported by: (1) National Basic Research Program of China (No. 2013CB329102); (2) National Natural Science Foundation of China (No. 61471063, 61421061, 61372120, 61302087, 61271019); (3) the Key (Keygrant) Project of Chinese Ministry of Education (No. MCM20130310); (4) Beijing Higher Education Young Elite Teacher Project (No. YETP0473).

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Authors and Affiliations

  1. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, People’s Republic of China

    Qi Qi, Jianxin Liao, Jingyu Wang, Jing Wang & Qi Li

  2. EBUPT Information Technology Co., Ltd., Beijing, 100191, People’s Republic of China

    Qi Qi, Jianxin Liao, Jingyu Wang, Jing Wang & Yufei Cao

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  1. Qi Qi
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  2. Jianxin Liao
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  3. Jingyu Wang
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  4. Jing Wang
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  5. Qi Li
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  6. Yufei Cao
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Correspondence to Qi Qi.

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Qi, Q., Liao, J., Wang, J. et al. Integrated Multi-service Handoff Mechanism with QoS-Support Strategy in Mobile Cloud Computing. Wireless Pers Commun 87, 593–614 (2016). https://doi.org/10.1007/s11277-016-3210-3

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  • DOI: https://doi.org/10.1007/s11277-016-3210-3

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