Skip to main content
SpringerLink
Log in

Computational Offloading Paradigms in Mobile Cloud Computing Issues and Challenges

  • Conference paper
  • First Online:
Advances in Big Data and Cloud Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 750))

Abstract

Mobile Cloud Computing (MCC) is an excellent communication offspring obtained by blending virtues of both Mobile computing and Cloud Computing Internet technologies. Mobile Cloud Computing has found its advantages in technical and communication market in innumerable ways. Major radical advantages of Mobile Cloud Computing are the computation offloading, enhancement of the smartphone application by utilizing the computational power of resource-rich cloud and enabling the smart mobile phone (SMP) to execute resource-intensive applications. In this survey paper, a SWOT (Strengths, Weakness, Opportunities and Threats) analysis of different Computation offloading techniques, is made. Computation Offloading uses the technique to migrate heavy computational resource applications from smartphone device to the cloud. In particular, this paper laid emphasis on the similarities and differences of computation offloading algorithms and models. Moreover, some important issues in offloading mechanism are also addressed in detail. All these will provide a glimpse of how the communication between the Mobile Device and the Cloud takes place flawlessly and efficiently.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Chun, B.-G., et al.: CloneCloud: elastic execution between mobile device and cloud. In: Proceedings of the International Conference on Computer Systems, pp. 301–314 (2011)

    Google Scholar 

  2. Cuervo, E., et al.: MAUI: making smartphones last longer with code offload. In: Proceedings International Conference Mobile Systems, Applications, and Services, pp. 49–62 (2010)

    Google Scholar 

  3. Khan, A.R., et al.: A survey of mobile cloud computing application models. IEEE Commun. Surv. Tutorials 16(1), 393–413 (2014)

    Article  MathSciNet  Google Scholar 

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

    Article  Google Scholar 

  5. Chang, Z., Ristaniemi, T., Niu, Z.: Energy efficient grouping and scheduling for content sharing based collaborative mobile Cloud. In: Proceedings of IEEE International Conference on Communications (ICC’14) (2014)

    Google Scholar 

  6. Chang, Z., Gong, J., Zhou, Z., Ristaniemi, T., Niu, Z.: Resource allocation and data offloading for energy efficiency in wireless power transfer enabled collaborative mobile clouds. In Proceedings of IEEE Conference on Computer Communications (INFOCOM’15) Workshop, Hong Kong, China, April 2015

    Google Scholar 

  7. Pederson, M.V., Fitzek, F.H.P.: Mobile clouds: the new content distribution platform. In: Proceeding of IEEE, vol. 100, no. Special Centennial Issue, pp. 1400–1403, May 2012

    Google Scholar 

  8. Satyanarayanan, M., et al.: Pervasive personal computing in an internet suspend/resume system. IEEE Internet Comput. 11(2), 16–25 (2007)

    Article  Google Scholar 

  9. Gu, X., Nahrstedt, K., Messer, A., Greenberg, I., Milojicic, D.: Adaptive offloading inference for delivering applications in pervasive computing environments. In: Proceedings of the First IEEE International Conference on Pervasive Computing and Communications (PerCom 2003), pp. 107–114. IEEE (2003)

    Google Scholar 

  10. Hunt, G.C., Scott, M.L.: The Coign automatic distributed partitioning system. In: Proceedings of the 3rd Symposium on Operating Systems Design and Implementation, February 1999

    Google Scholar 

  11. Wang, C., Li, Z., Xu, R.: Computation offloading to save energy on handheld devices: a partition scheme. ACM, 16–17 Nov 2001

    Google Scholar 

  12. Wang, C., Li, Z.: A computation offloading scheme on handheld devices. J. Parallel Distrib. Comput. 64, 740–746 (2004)

    Article  Google Scholar 

  13. Kovachev, D., Cao, Y., Klamma, R.: Mobile Cloud Computing: A Comparison of Application Models, CoRR, vol. abs/1107.4940 (2011)

    Google Scholar 

  14. Angin, P., Bhargava, B.: An agent-based optimization framework for mobile-cloud computing. J. Wireless Mobile Netw. Ubiquit. Comput. Dependable Appl. 4(2) (2013)

    Google Scholar 

  15. Wang, Y., Chen, I., Wang, D.: A survey of mobile cloud computing applications: perspectives and challenges. Wireless Pers. Commun. 80(4), 1607–1623 (2015)

    Google Scholar 

  16. Ma, R.K., Lam, K.T., Wang, C.-L.: eXCloud: transparent runtime support for scaling mobile applications in cloud. In: Proceedings of the International Conference Cloud and Service Computing (CSC), pp. 103–110 (2011)

    Google Scholar 

  17. Giurgiu, I., Riva, O., Juric, D., Krivulev, I., Alonso, G.: Calling the cloud: enabling mobile phones as interfaces to cloud applications. In: Proceedings of the 10th ACM/IFIP/USENIX International Conference on Middleware (Middleware ’09), pp. 1–20. Springer (2009)

    Google Scholar 

  18. Ou, S., Yang, K., Zhang, J.: An effective offloading middleware for pervasive services on mobile devices. Pervasive Mob. Comput. 3, 362–385 (2007)

    Article  Google Scholar 

  19. Kosta, S., et al.: ThinkAir: dynamic resource allocation and parallel execution on the cloud for mobile code offloading. In: Proceedings of the IEEE INFOCOM, 2012, pp. 945–953 (2012)

    Google Scholar 

  20. Xing, T., et al.: MobiCloud: a geo-distributed mobile cloud computing platform. In: Proceedings of the International Conference on Network and Service Management (CNSM 12), pp. 164–168 (2012)

    Google Scholar 

  21. Zhang, X., Jeong, S., Kunjithapatham, A., Gibbs, S.: Towards an elastic application model for augmenting computing capabilities of mobile platforms. In: Third International ICST Conference on Mobile Wireless Middleware, Operating Systems, and Applications (2010)

    Google Scholar 

  22. Satyanarayanan, M., et al.: The case for VM-Based cloudlets in mobile computing. IEEE Pervasive Comput. 8(4), 14–23 (2009)

    Article  Google Scholar 

  23. Ra, M.R., Sheth, A., Mummert, L., Pillai, P., Wetherall, D., Govindan, R.: Odessa: enabling interactive perception applications on mobile devices. In: Proceedings of Mobisys, pp. 43–56. ACM (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, Punjabi University, Patiala, 147002, Punjab, India

    Pravneet Kaur &  Gagandeep

Authors
  1. Pravneet Kaur
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Gagandeep
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Pravneet Kaur .

Editor information

Editors and Affiliations

  1. Department of Computer Sciences Technology, Karunya Institute of Technology & Sciences, Coimbatore, Tamil Nadu, India

    J. Dinesh Peter

  2. Department of Civil and Environmental Engineering, University of Missouri, Columbia, MO, USA

    Amir H. Alavi

  3. School of Computing, Engineering and Mathematics, University of Western Sydney, Sydney, NSW, Australia

    Bahman Javadi

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kaur, P., Gagandeep (2019). Computational Offloading Paradigms in Mobile Cloud Computing Issues and Challenges. In: Peter, J., Alavi, A., Javadi, B. (eds) Advances in Big Data and Cloud Computing. Advances in Intelligent Systems and Computing, vol 750. Springer, Singapore. https://doi.org/10.1007/978-981-13-1882-5_8

Download citation

Publish with us

Policies and ethics

Search

Navigation