Skip to main content

Advertisement

SpringerLink
Log in

Practical Implementation of Femtolet Based Peer-to-Peer Network

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Energy and latency aware code offloading is a demanding research area for nowadays. In this paper, for the first time we have successfully implemented the prototype of femtolet for fifth generation mobile network. Mobile devices are registered under a femtolet. The femtolet provides voice call service as well as code offloading facilities to the mobile devices. A femtolet has coverage of 10–20 m. In a particular indoor zone, there may be a number of femtolets allocated. These femtolets communicate with each other and form a peer-to-peer network. When a mobile device has to execute a resource intensive application, it requests the femtolet. If the femtolet is unable to process the task, it asks its nearby peer that is either a femtolet or a cloudlet to offload it. If the nearby peer is also unable then forwards the request to the most powerful peer i.e. the remote cloud server. The remote cloud server further executes the task. The experimental analysis shows that the proposed offloading scheme reduces the energy and latency in code offloading by approximately 10–22% and 11–14% respectively than the existing cooperative offloading model.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. 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 

  2. Mukherjee, A., & De, D. (2016). Femtolet: A novel fifth generation network device for green mobile cloud computing. Simulation Modelling Practice and Theory, 62, 68–87.

    Article  Google Scholar 

  3. Srirama, S. N., Jarke, M., Zhu, H., & Prinz, W. (2008, June). Scalable mobile web service discovery in peer to peer networks. In Third international conference on internet and web applications and services, 2008. ICIW’08 (pp. 668–674). IEEE.

  4. Venkadeshan, R., & Chandrasekar, M. (2016). Effective communication in P2P network by introducing GOSIP–PHE algorithms. Wireless Personal Communications, 87(3), 923–937.

    Article  Google Scholar 

  5. Fisher, W., Suchara, M., & Rexford, J. (2010, August). Greening backbone networks: Reducing energy consumption by shutting off cables in bundled links. In Proceedings of the first ACM SIGCOMM workshop on Green networking (pp. 29–34). ACM.

  6. Andrews, J. G., Claussen, H., Dohler, M., Rangan, S., & Reed, M. C. (2012). Femtocells: Past, present, and future. IEEE Journal on Selected Areas in Communications, 30(3), 497–508.

    Article  Google Scholar 

  7. Mukherjee, A., Bhattacherjee, S., Pal, S., & De, D. (2013). Femtocell based green power consumption methods for mobile network. Computer Networks, 57(1), 162–178.

    Article  Google Scholar 

  8. Satyanarayanan, M., Bahl, P., Caceres, R., & Davies, N. (2009). The case for VM-based cloudlets in mobile computing. IEEE Pervasive Computing, 8(4), 14–23.

    Article  Google Scholar 

  9. Tawalbeh, L. A., Jararweh, Y., & Dosari, F. (2015). Large scale cloudlets deployment for efficient mobile cloud computing. Journal of Networks, 10(1), 70–77.

    Article  Google Scholar 

  10. Verbelen, T., Simoens, P., De Turck, F., & Dhoedt, B. (2012, June). Cloudlets: Bringing the cloud to the mobile user. In Proceedings of the third ACM workshop on Mobile cloud computing and services (pp. 29–36). ACM.

  11. Gai, K., Qiu, M., Zhao, H., Tao, L., & Zong, Z. (2016). Dynamic energy-aware cloudlet-based mobile cloud computing model for green computing. Journal of Network and Computer Applications, 59, 46–54.

    Article  Google Scholar 

  12. Roy, D. G., De, D., Mukherjee, A., & Buyya, R. (2017). Application-aware cloudlet selection for computation offloading in multi-cloudlet environment. The Journal of Supercomputing, 73(4), 1672–1690.

    Article  Google Scholar 

  13. Song, J., Cui, Y., Li, M., Qiu, J., & Buyya, R. (2014, May). Energy-traffic tradeoff cooperative offloading for mobile cloud computing. In IEEE 22nd international symposium of quality of service (IWQoS), 2014 (pp. 284–289). IEEE.

  14. Mukherjee, A., De, D., & Roy, D. G. (2016). A power and latency aware cloudlet selection strategy for multi-cloudlet environment. IEEE Transactions on Cloud Computing, 7(1), 141–154.

    Article  Google Scholar 

  15. Shiraz, M., Gani, A., Khokhar, R., Rahman, A., Iftikhar, M., & Chilamkurti, N. (2017). A distributed and elastic application processing model for mobile cloud computing. Wireless Personal Communications, 95(4), 4403–4423.

    Article  Google Scholar 

  16. Pandey, V., Singh, S., & Tapaswi, S. (2015). Energy and time efficient algorithm for cloud offloading using dynamic profiling. Wireless Personal Communications, 80(4), 1687–1701.

    Article  Google Scholar 

  17. Othman, M., Khan, A. N., Shuja, J., & Mustafa, S. (2017). Computation offloading cost estimation in mobile cloud application models. Wireless Personal Communications, 97(3), 4897–4920.

    Article  Google Scholar 

  18. Cheng, R. G., Chen, N. S., Chou, Y. F., & Becvar, Z. (2015). Offloading multiple mobile data contents through opportunistic device-to-device communications. Wireless Personal Communications, 84(3), 1963–1979.

    Article  Google Scholar 

  19. Herley, C. E. (2008). U.S. Patent No. 7,343,418. Washington, DC: U.S. Patent and Trademark Office.

  20. Srirama, S. N. (2010). Publishing and discovery of mobile web services in peer to peer networks. arXiv preprint arXiv:1007.2980.

Download references

Acknowledgements

Department of Science and Technology (DST) for SR/FST/ETI-296/2011 and TEQIP-III (TEQIP-III-MAKAUT,WB/2017-2020).

Author information

Authors and Affiliations

  1. Centre of Mobile Cloud Computing, Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology,WB, Simhat, Haringhata, Nadia, Kolkata, West Bengal, 741249, India

    Deepsubhra Guha Roy & Debashis De

  2. Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, 721302, India

    Anwesha Mukherjee

  3. Department of Physics, University of Western Australia, 35 Stirling Hwy, Crawley, WA, 6009, Australia

    Debashis De

  4. Mobile & Cloud Lab, Institute of Computer Science, University of Tartu, Ulikooli 17 - 324, 50090, Tartu, Estonia

    Satish Narayana Srirama

Authors
  1. Deepsubhra Guha Roy
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Anwesha Mukherjee
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Debashis De
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Satish Narayana Srirama
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Debashis De.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Guha Roy, D., Mukherjee, A., De, D. et al. Practical Implementation of Femtolet Based Peer-to-Peer Network. Wireless Pers Commun 108, 2477–2498 (2019). https://doi.org/10.1007/s11277-019-06534-4

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-019-06534-4

Keywords

Search

Navigation