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Pedagogue: A Model for Improving Core Competency Level in Placement Interviews Through Interactive Android Application

  • N. M. Dhanya
  • T. Senthil Kumar
  • C. Sujithra
  • S. Prasanth
  • U. K. Shruthi
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 398)

Abstract

This paper discusses about developing a mobile application running on the cloud server. The Cloud acclaims a new era of computing, where application services are provided through the Internet. Though mobile systems are resource-constrained devices with limited computation power, memory, storage, and energy, the use of cloud computing enhances the capability of mobile systems by offering virtually unlimited dynamic resources for computation and storage. The challenge faced here is that traditional smartphones do not support cloud, these applications require specialized mobile cloud application model. The core innovativeness of the application lies in its delivery structure as an interactive android application centered on emerging technologies like mobile cloud computing–that improves the core competencies of the students by taking up online tests posted by the faculty in the campus. The performance of this application has been presented using scalability, accessibility, portability, security, data consistency, user session migration, and redirection delay.

Keywords

Cloud Computing Cloud Server Mobile System Mobile Cloud Placement Test 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

We are highly indebted to Amrita School of Engineering, Ettimadai for their guidance and constant supervision by providing necessary information regarding the project and also for their support in completing the project.

We express our deepest thanks to Dr. Latha Parameshwaran, Head of the Department of Computer Science and Engineering, Amrita University for constant support and valuable guidance.

We express our sincere thanks to Mr. SankaraNarayanan B, Assistant Manager (Aptitude), Learning and Development, Corporate and Industrial Relations Department, Amrita Vishwa Vidhyapeetham, Coimbatore for his constant guidance and support in completing the project.

We express our deepest thanks to CTS lab, Amrita School of Engineering, Amrita Vishwa Vidhyapeetham for supporting our research activities throughout the project.

References

  1. 1.
    Prasad S, Peddoju SK, Ghosh D (2013) AgroMobile: a cloud-based framework for agriculturists on mobile platform. Int J Adv Sci Technol 59:41–52Google Scholar
  2. 2.
    Miller M (2008) Cloud computing: web-based applications that change the way you work and collaborate online. Que Publishing, IndianapolisGoogle Scholar
  3. 3.
    Guan L, Ke X, Song M, Song J (2011) A survey of research on mobile cloud computing. In: 2011 IEEE/ACIS 10th international conference on computer and information science (ICIS). IEEE, pp 387–392Google Scholar
  4. 4.
    Khan AR, Othman M, Madani SA, Khan SU (2013) A survey of mobile cloud computing application models. Commun Surveys Tutorials 16:393–413Google Scholar
  5. 5.
    Basha AD, Umar IN, Abbas M (2014) Mobile applications as cloud computing: implementation and challenge. Int J Inf Electron Eng 4(1)Google Scholar
  6. 6.
    Fernando N, Loke SW, Rahayu W (2013) Mobile cloud computing: a survey. Future Gener Comput Syst 29(1):84–106CrossRefGoogle Scholar
  7. 7.
    Guan L, Xu K, Meina S, Junde S (2011) A survey of research on mobile cloud computing. In: Proceeding of 10th international conference on computer and information science (ICIS), IEEE/ACIS (2011), pp 387–392Google Scholar
  8. 8.
    Dinh HT, Lee C, Niyato D, Wang P (2011) A survey of mobile cloud computing: architecture, applications, and approaches. Wiley online library, Oct 2011, pp 1587–1611Google Scholar
  9. 9.
    Zhao W, Sun Y, Dai L (2010) Improving computer basis teaching through mobile communication and cloud computing technology. In: 3rd international conference on advanced computer theory and engineering (ICACTE), vol 1. IEEE, pp V1–V452Google Scholar
  10. 10.
    Xia Q, Liang W, Xu W (2013) Throughput maximization for online request admissions in mobile cloudlets. IEEE conference on local computer networks, pp 589–596Google Scholar
  11. 11.
    Kumar K, Lu Y-H (2010) Cloud computing for mobile users: can offloading computation save energy. J Comput 43(4):51–56Google Scholar
  12. 12.
    Sanaei Z, Abolfazli S, Gani A, Buyya R (2013) Heterogeneity in mobile cloud computing: taxonomy and open challenges. IEEE Commun Surveys Tutorials 16(1):369–392Google Scholar
  13. 13.
    Verbelen T, Simoens P, Turck FD, Dhoedt B (2012) Cloudlets: bringing the cloud to the mobile user. In: Proceedings of MCS’12, ACMGoogle Scholar
  14. 14.
    Holla S, Katti MM (2012) Android based mobile application and its security. Int J Comput Trends Technol 3:486Google Scholar
  15. 15.
    Krutz RL, Vines RD (2010) Cloud security: a comprehensive guide to secure cloud computing. Wiley Publishing, Inc, New YorkGoogle Scholar
  16. 16.
    Qureshi SS, Ahmad T, Rafique K, Islam SU (2011) Mobile cloud computing as future for mobile applications—Implementation methods and challenging issues. IEEE international conference on cloud computing and intelligence systems (CCIS), 15–17 Sept 2011Google Scholar
  17. 17.
    Yang L, Cao J, Tang S, Li T, Chan A (2012) A framework for partitioning and execution of data stream applications in mobile cloud computing. In: IEEE 5th international conference on cloud computing (June 2012), pp 794–802Google Scholar

Copyright information

© Springer India 2016

Authors and Affiliations

  • N. M. Dhanya
    • 1
  • T. Senthil Kumar
    • 1
  • C. Sujithra
    • 1
  • S. Prasanth
    • 1
  • U. K. Shruthi
    • 1
  1. 1.Department of Computer Science and Engineering, Amrita School of EngineeringAmrita Vishwa VidhyapeethamCoimbatoreIndia

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