Main Article Content

Authors

Vivek Kumar Shukla

Dr. Qaim Mehdi Rizbi

Abstract

Cloud management provides facilities to access and manage a shared pool of networking resources including servers’ infrastructure, wide variety of web applications and services. The cloud service classification categorized in to three different ways, such as IaaS, PaaS and SaaS. Cloud computing provides flexible and virtualized services based on the user requirement. The scalability can be increased due to non-maintenance of servers and other required infrastructure. Mobile or smart phone usage had a significant growth from past years, and it is one of the daily needs for internet users. Recent advances in mobile development made a huge interest with cognitive capabilities, voice recognition, machine learning, virtual and augmented reality. In mobile cloud computing, it is very necessary to provide the user with the best possible seamless and cost-effective services. User satisfaction is the major goal of mobile cloud computing, the communication through mobile devices to the cloud can lead to long latencies over the wide area network (WAN) and it cannot be ignored. User satisfaction majorly depends on it. In this chapter the problem is identified as networking in MCC, so a new routing algorithm is proposed to solve the problem under high data traffic.

Downloads

Download data is not yet available.

Article Details

Section

Articles

References

  1. Al-Saeed, L., M. Li and H. Al-Raweshidy (2014). Cognitive data routing in heterogeneous mobile cloud networks. In Mobile Cloud Computing, Services, and Engineering (MobileCloud), 2014 2nd IEEE International Conference on, pp. 194- 199. Amazon S3. (2015, July 18) Available at: http://aws.amazon.com/s3
  2. Berlin Heidelberg. Rong, P., and M. Pedram (2003). Extending the lifetime of a network of batterypowered mobile devices by remote processing: a markovian decision-based approach.In Proceedings of the 40th annual Design Automation Conference, pp. 906- 911.
  3. Chen, W., C. Young, F. Alan and Y.Z. Albert (2015). Adaptive multiple-workflow scheduling with task rearrangement. J. Supercomput., pp. 1–21.
  4. Junior, Warley, Bruno Silva & Kelvin Dias 2018, „A systematic mapping study on mobility mechanisms for cloud service provisioning in mobile cloud ecosystems‟, Computers & Electrical Engineering, vol. 69, pp. 256-273.
  5. Krishna, P.V., S. Misra, M.S. Obaidat and V. Saritha (2009). An efficient approach for distributed dynamic channel allocation with queues for real-time and non-realtime traffic in cellular networks. Journal of Systems and Software, Vol. 82, No. 7, pp. 1112-1124.
  6. Krishna, P.V., S. Misra, M.S. Obaidat and V. Saritha (2010). Virtual backoff algorithm: An enhancement to 802.11 medium-access control to improve the performance of wireless networks. Vehicular Technology, IEEE Transactions on, Vol. 59, No. 3, pp. 1068-1075.
  7. Krishna, P.V., V. Saritha, G. Vedha, A. Bhiwal and A.S. Chawla (2012). Quality-ofservice-enabled ant colony-based multipath routing for mobile ad hoc networks. Communications, IET, Vol. 6, No. 1, pp. 76-83.
  8. Krishna, PV, Misra, S, Nagaraju, D, Saritha, V & Obaidat, MS 2016, ëLearning automata based decision making algorithm for task offloading in mobile cloudí, IEEE International Conference on Computer, Information and Telecommunication Systems, pp. 1-6.
  9. Lee YC, Zomaya AY, 2009, ‘Minimizing energy consumption for precedence-constrained applications using dynamic voltage scaling’, 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, 2009. CCGRID’09, IEEE, pp. 92–99.
  10. Liu, J. Qiu and F. Wang (2009). The method and tool of cost analysis for cloud computing. In Cloud Computing, 2009.CLOUD'09. IEEE International Conference on, pp. 93-100.
  11. Misra, S., A.V. Vasilakos, M.S. Obaidat, P.V. Krishna, H. Agarwal and V. Saritha (2013). A fault-tolerant routing protocol for dynamic autonomous unmanned vehicular networks. In Communications (ICC), 2013 IEEE International Conference on, pp. 3525-3529.
  12. Misra, S., P.V. Krishna, A. Bhiwal, A.S. Chawla, B.E. Wolfinger and C. Lee (2012). A learning automata-based fault-tolerant routing algorithm for mobile ad hoc networks. The Journal of Supercomputing, 62(1), 4-23.
  13. Misra, S., P.V. Krishna, V. Saritha, H. Agarwal and A. Ahuja (2014). Learning automata-based multi-constrained fault-tolerance approach for effective energy management in smart grid communication network. Journal of Network and Computer Applications, Vol. 44, pp. 212-219.
  14. Misra, S., S. Das, M. Khatua and M.S. Obaidat (2014). QoS-guaranteed bandwidth shifting and redistribution in mobile cloud environment. IEEE Transactions on Cloud Computing, Vol. 2, No. 2, pp.181-193.
  15. Nagaraju, D. and V. Saritha (2016). A Survey on Communicational Issues in Mobile Cloud Computing. Walailak Journal of Science and Technology (WJST) Vol. 14, No. 10, pp.1-19. (Scopus Indexed).
  16. Nagaraju, D. and V. Saritha. Adaptive Routing Algorithm for Virtual Ad Hoc Networking in Mobile Cloud Computing. Communicated to IET Networks. (Scopus Indexed).
  17. Shiraz, M., A. Gani, R.H. Khokhar and R. Buyya (2013). A review on distributed application processing frameworks in smart mobile devices for mobile cloud computing. Communications Surveys & Tutorials. pp. 1294-1307.
  18. Wang, S., and S. Dey (2013). Adaptive mobile cloud computing to enable rich mobile multimedia applications. IEEE Transactions on Multimedia, Vol. 15, No. 4, pp. 870- 883.
  19. Zhang, K, Mao, Y, Leng, S, Vinel, A & Zhang, Y 2016, ëDelay constrained offloading for mobile edge computing in cloud-enabled vehicular networksí, 8th International Workshop on Resilient Networks Design and Modeling (RNDM), pp. 288-294.