Skip to main content

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 49))

  • 1545 Accesses

Abstract

Big firms generally have huge amount of data which needs to be analyzed and results have to be evaluated. When it comes to such a huge amount of data, we refer it with the term “big data”, and its analysis is a tedious process. Companies employ people, who are trained data scientists and they are given the data sets along with the expected output. An integrated solution for data analytics comes as data science as a service (DSaaS), where the data scientists need not be employed by each company. DSaaS can be implemented on a worldwide basis with a global environment hosted on any platform. The proposal provides DSaaS on cloud platform with grid computing/multicore computing in cooperative technology for higher efficiency and reliability.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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. IBM Point of View: Security and Cloud Computing, Cloud computing White paper, November 2009

    Google Scholar 

  2. Ludwig, W., Strunk, O., Westram, R., Richter, L., Meier, H., Buchner, A., Lai, T., et al.: ARB: a software environment for sequence data. Nucleic Acids Res. 32(4), 1363–1371 (2004)

    Article  Google Scholar 

  3. Zissis, D., Lekkas, D.: Addressing cloud computing security issues. Future Gener. Comput. Syst. 28(3), 583–592 (2012)

    Article  Google Scholar 

  4. http://data-informed.com/understanding-data-science-service/

  5. Shen, Z., Ma, K.-L., Eliassi-Rad, T.: Visual analysis of large heterogeneous social networks by semantic and structural abstraction. Vis. Comput. Graphics, IEEE Trans. 12(6), 1427–1439 (2006)

    Google Scholar 

  6. http://www.cnet.com/videos/diy-create-your-own-cloud/

  7. Zhang, J., Tjhi, W.C., Lee, B.S., Lee, K.K., Vassileva, J., Looi, C.K.: A framework of user-driven data analytics in the cloud for course management. In: Wong, S.L. et al. (eds.) Proceedings of the 18th International Conference on Computers in Education, pp. 698–702. Putrajaya, Malaysia, Asia-Pacific Society for Computers in Education (2010)

    Google Scholar 

  8. Brunette, G., Mogull, R.: Security guidance for critical areas of focus in cloud computing v2.1. Cloud Secur. Alliance, 1–76 (2009)

    Google Scholar 

  9. Bleiholder, J., Naumann, F.: Data fusion. ACM Comput. Surv. (CSUR) 41(1), 1 (2008)

    Google Scholar 

  10. Guazzelli, A., Stathatos, K., Zeller, M.: Efficient deployment of predictive analytics through open standards and cloud computing. ACM SIGKDD Explor. Newsl. 11(1), 32–38 (2009)

    Article  Google Scholar 

  11. Vinay, K., Girish, M., Siddhi, K., Shreedhar, K.: Study of cloud setup for college campus. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 2(10), 251−255 (2012)

    Google Scholar 

  12. http://www.hongkiat.com/blog/free-tools-to-build-personal-cloud/

  13. https://owncloud.org/

  14. Smith-Miles, K.A.: Cross-disciplinary perspectives on meta-learning for algorithm selection. ACM Comput. Surv. (CSUR) 41(1), 6 (2008)

    Google Scholar 

  15. https://gigaom.com/2014/03/01/how-to-set-up-your-own-personal-home-cloud-storage-system/

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Aishwarya Srinivasan .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Srinivasan, A., Vijayakumar, V. (2016). Data Science as a Service on Cloud Platform. In: Vijayakumar, V., Neelanarayanan, V. (eds) Proceedings of the 3rd International Symposium on Big Data and Cloud Computing Challenges (ISBCC – 16’). Smart Innovation, Systems and Technologies, vol 49. Springer, Cham. https://doi.org/10.1007/978-3-319-30348-2_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-30348-2_22

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30347-5

  • Online ISBN: 978-3-319-30348-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics