Advertisement

Evaluation of Quality of Service Parameters for Mobile Cloud Service Using Principal Component Analysis

  • Rajeshkannan Regunathan
  • Aramudhan Murugaiyan
  • K. Lavanya
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 863)

Abstract

The cloud service is communicating between mobile devices through the Internet. They are prepended as platform independent and loosely conjoined. This paper’s objective is to obtain effective services with composition of services based on specific QoS parameters using principal component factor analysis method. The Factor analysis, analyzing the interrelationships among variables by characterizing highly correlated known as factors. In factor analysis, particularly statistical principal component analysis is used to consider the interrelationships among variables with a minimal loss of information. This analysis is made from the data collected from the cloud service providers. This result is based on components of cloud service availability, response time, throughput, reliability, successability, compliance, best practices, and web services resource framework. These are few parameters considered among the QoS parameters to find the best mobile cloud services. In this factor analysis based on principal component analysis considers these eight parameters which can be further improved to select the cloud services of QoS.

Keywords

Cloud service Quality of service Factor analysis Service selection 

References

  1. 1.
    Arasi, F.E., Govindarajan, S., et al.: Evaluation of quality of service using factor analysis method [J]. Indian J. Sci. Technol. 9(41) 2016Google Scholar
  2. 2.
    Newcomer, E., Lomow, G.: Understanding SOA with Web Services(Independent Technology Guides), Addison-Wesley Professional (2004)Google Scholar
  3. 3.
    Canfora, G., et al.: An approach for QoS-aware service composition based on genetic algorithms. In: Proceedings of the 7th annual conference on Genetic and evolutionary computation, pp. 1069–1075. ACM (2005)Google Scholar
  4. 4.
    Chatfield, C., Collins, A.J.: Introduction to Multivariate Analysis. Chapman & Hall, London (1992)Google Scholar
  5. 5.
    Nimako, S.G., et al.: Confirmatory factor analysis of service quality dimensions within mobile telephony industry in Ghana [J]. Electron. J. Inf. Syst. Eval. 15(2) (2012)Google Scholar
  6. 6.
    Zeng, L., et al.: Quality driven web services composition. In: Proceedings of the 12th international conference on World Wide Web, pp. 411–421. ACM (2003)Google Scholar
  7. 7.
    Ran, S.: A model for web services discovery with QoS. ACM Sigecom exchanges 4(1), 1–10 (2003)CrossRefGoogle Scholar
  8. 8.
    Muthuraman, S., Venkatesan, V.P.: Qualitative and quantitative review of QOS based web services selection and composition techniques. In: Proceedings of the International Conference on Informatics and Analytics, p. 82. ACM (2016)Google Scholar
  9. 9.
    Jinrong, C., et al.: Research on the service industry competitiveness in Liaoning province based on factor analysis. In: IT in Medicine and Education (ITME), 2011 International Symposium on. 1, pp. 441–444. IEEE (2011)Google Scholar
  10. 10.
    Lee, Hyo-Jin, et al.: QoS parameters to network performance metrics mapping for SLA monitoring [J]. KNOM Review 5(2), 42–53 (2002)Google Scholar
  11. 11.
    Kondrotaitė, G.: Evaluation of the quality of public services in Lithuanian municipalities. Intelektine Ekon. 6(3) (2012)Google Scholar
  12. 12.
    Al-Masri, E., Mahmoud, Q.H.: Qos-based discovery and ranking of web services. In: Proceedings of 16th International Conference on Computer Communications and Networks, 2007. ICCCN 2007, pp. 529–534. IEEE (2007)Google Scholar
  13. 13.
    Cardoso, J.: Discovering semantic web services with and without a common ontology commitment. In: Proceedings of the 2006 IEEE Services Computing Workshops. SCW’06, pp. 183–190. IEEE (2006)Google Scholar
  14. 14.
    Al-Masri, E., Mahmoud, Q.H.: Discovering the best web service. In: Proceedings of the 16th international conference on World Wide Web, pp. 1257–1258. ACM (2007)Google Scholar
  15. 15.
    D’Mello, D.A., Ananthanarayana, V.S.: Quality driven web service selection and ranking. In: Proceedings of the 2008 Fifth International Conference on Information Technology: New Generations. ITNG 2008, pp. 1175–1176. IEEE (2008)Google Scholar
  16. 16.
    Anastasiadou, S.D., Anastasiadis, L.: Reliability and validity testing of a new Scale for measuring attitudes toward electronics and electrical constructions subject [J]. Int. J. Appl. Sci. Technol. 1(1) 2011Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Rajeshkannan Regunathan
    • 1
  • Aramudhan Murugaiyan
    • 2
  • K. Lavanya
    • 1
  1. 1.School of Computer Science & EngineeringVellore Institute of TechnologyVelloreIndia
  2. 2.Perunthalaivar Kamarajar Institute of Engineering and TechnologyKaraikalIndia

Personalised recommendations