Skip to main content

Using a Cloud Computing Telemetry Service to Assess PaaS Setups

  • Conference paper
Intelligent Information and Database Systems (ACIIDS 2016)

Abstract

Cloud Computing (CC) is a new paradigm in which capabilities and resources related to Information Technology (IT) are provided as services. This provision could be done via the Internet and on-demand, and is accessible without requiring detailed knowledge of the underlying technology. In this paper we assess different service platforms using cloud computing telemetry services. Using an OpenStack telemetry service, namely Ceilometer, we design experiments to assess the performance of different Platform as a Service (PaaS) setups for basic purposes (e.g. database and Web server). The assessment could be use to decide between common used platforms, comparing requisites of storage, processing time and processor load. Given the costs of each metric at a CC platform and the performance of each PaaS setup, the IT manager could choose the most advantage one.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Notes

  1. 1.

    Instructions to reproduce the experiments in https://github.com/labepi/aciids-2016.

References

  1. Baliga, J., Ayre, R.W.A., Hinton, K., Tucker, R.S.: Green cloud computing: balancing energy in processing, storage, and transport. Proc. IEEE 99(1), 149–167 (2011)

    Article  Google Scholar 

  2. Brinkmann, A., Fiehe, C., Litvina, A., Luck, I., Nagel, L., Narayanan, K., Ostermair, F., Thronicke, W.: Scalable monitoring system for clouds. In: Proceedings of the IEEE/ACM 6th International Conference on Utility and Cloud Computing (UCC), pp. 351–356, December 2013

    Google Scholar 

  3. Buyya, R., Yeo, C.S., Venugopal, S.: Market-oriented cloud computing: vision, hype, and reality for delivering IT services as computing utilities. In: Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications (HPCC), pp. 5–13, September 2008

    Google Scholar 

  4. Dong, B., Zheng, Q., Yang, J., Li, H., Qiao, M.: An e-learning ecosystem based on cloud computing infrastructure. In: Proceedings of the Ninth IEEE International Conference on Advanced Learning Technologies (ICALT), pp.125–127, July 2009

    Google Scholar 

  5. Jamsa, K.: Cloud Computing: SaaS, PaaS, IaaS, Virtualization, Business Models, Mobile Security and More. Jones & Bartlett Learning, Burlington (2012)

    Google Scholar 

  6. Kumar, S., Murthy, O.: Cloud computing for universities: a prototype suggestion and use of cloud computing in academic institutions. Int. J. Comput. Appl. 70(14), 1–6 (2013)

    Google Scholar 

  7. Lin, A., Chen, N.C.: Cloud computing as an innovation: Percepetion, attitude, and adoption. Int. J. Inf. Manage. 32(6), 533–540 (2012)

    Article  Google Scholar 

  8. Malhotra, R., Jain, P.: Testing techniques and its challenges in a cloud computing environment. SIJ Trans. Comput. Sci. Eng. Appl. (CSEA) 1(3), 88–93 (2013)

    Google Scholar 

  9. Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., Ghalsasi, A.: Cloud computing: the business perspective. Decis. Support Syst. 51(1), 176–189 (2011)

    Article  Google Scholar 

  10. Mell, P.M., Grance, T.: SP 800-145. The NIST Definition of CloudComputing. Technical report, Gaithersburg, MD, USA (2011)

    Google Scholar 

  11. Park, S.C., Ryoo, S.Y.: An empirical investigation of end-users switching toward cloud computing: A two factor theory perspective. Comput. Hum. Behav. 29(1), 160–170 (2013)

    Article  Google Scholar 

  12. Ratten, V.: Cloud computing: A social cognitive perspective of ethics, entrepreneurship, technology marketing, computer self-efficacy and outcome expectancy on behavioural intentions. Australas. Mark. J. (AMJ) 21(3), 137–146 (2013)

    Article  Google Scholar 

  13. Rossigneux, F., Lefevre, L., Gelas, J.P., De Assuncao, M.: A generic and extensible framework for monitoring energy consumption of openstack clouds. In: Proceedings of the IEEE Fourth International Conference on Big Data and Cloud Computing (BdCloud), pp. 696–702, December 2014

    Google Scholar 

  14. Tumbas, P., Matkovic, P., Sakal, M., Tumbas, S.: Exploring the potentials of cloud computing in higher education. In: Proceedings of the 8th International Technology, Education and Development Conference, pp. 2624–2631, March 2014

    Google Scholar 

  15. Vaquero, L.M., Rodero-Merino, L., Caceres, J., Lindner, M.: A break in the clouds: towards a cloud definition. SIGCOMM Comput. Commun. Rev. 39(1), 50–55 (2008)

    Article  Google Scholar 

  16. Xiaojiang, L., Yanlei, S.: The design and implementation of resource monitoring for cloud computing service platform. In: Proceedings of the 3rd International Conference on Computer Science and Network Technology (ICCSNT), pp. 239–243, October 2013

    Google Scholar 

Download references

Acknowledgement

The authors would like to thanks the staff of the Elements of Information Processing Laboratory (LabEPI) for the technical and theoretical support.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to João Paulo Souza Medeiros .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Pereira, F.A.F., Soares, J., Andrade, A.P.V., Silva, G.G., Medeiros, J.P.S. (2016). Using a Cloud Computing Telemetry Service to Assess PaaS Setups. In: Nguyen, N.T., Trawiński, B., Fujita, H., Hong, TP. (eds) Intelligent Information and Database Systems. ACIIDS 2016. Lecture Notes in Computer Science(), vol 9621. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49381-6_31

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-49381-6_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-49380-9

  • Online ISBN: 978-3-662-49381-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics