Skip to main content

Revenue Streams and Value Propositions of Cloud-Based High Performance Computing in Higher Education

  • Conference paper
  • First Online:
E-Business and Telecommunications (ICETE 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 554))

Included in the following conference series:

Abstract

Most higher education institutions can no longer subsidize academic high performance computing (HPC) services the way they used to. New business models are needed. At the same time, Cloud computing has emerged as a new way to digitize the public sector, but thus far there is only little experience in this domain. Therefore, ETH Zurich and the University of Zurich jointly set up a Cloud stack to experiment with HPC service provision and corresponding business model alternatives. On this basis of an interview series, this study aims to foster the understanding of Cloud-based HPC services and revenue streams. The results suggest that service providers appreciate Cloud computing as a means to become more transparent and efficient, i.e. to comply with new public management concepts. However, service consumers can hardly see the need to consume Cloud-based services, because convincing “Cloud-only” applications are still missing. Different revenue streams are discussed.

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

References

  1. Lifka, D., Foster, I., Mehringer, S., Parashar, M., Redfern, P., Stewart, C., Tuecke, S.: XSEDE Cloud Survey Report (2013)

    Google Scholar 

  2. Kundra, V.: State of Public Sector Cloud Computing (2010). http://dosen.narotama.ac.id/wp-content/uploads/2012/01/State-of-Public-Sector-Cloud-Computing.pdf

  3. Chandrasekaran, A., Kapoor, M.: State of Cloud Computing in the Public Sector – A Strategic analysis of the business case and overview of initiatives across Asia Pacific. Frost & Sullivan (2011). http://www.frost.com/prod/servlet/cio/232651119

  4. Norwich University: A Pulse on Virtualization & Cloud Computing. (2011). http://www.thecre.com/fisma/wp-ontent/uploads/2011/05/Norwich_Survey_Findings1.pdf

  5. Macias, F., Greg, T.: Cloud Computing Advantages in the Public Sector. Cisco (2011). https://www.cisco.com/web/strategy/docs/c11-687784_cloud_omputing_wp.pdf

  6. Baldwin, H.: Public Sector Cloud Computing: The Good, the Bad and the Ugly (2012). http://www.computerworld.com/s/article/9226932/Public_sector_cloud_computing_The_good_the_bad_and_the_ugly

  7. Red Shift Research: Adoption, Approaches & Attitudes: The Future of Cloud Computing in the Public and Private Sectors (2011). http://whitepaper.techweekeurope.co.uk/adoption-approaches-attitudes-the-future-of-cloud-computing-in-the-public-and-private-sectors-340.html

  8. Eurich, M., Giessmann, A., Mettler, T., Stanoevska-Slabeva, K.: Revenue streams of cloud-based platforms: current state and future directions. In: Proceedings of the 17th Americas Conference on Information Systems (AMCIS 2011), Detroit, MI (2011)

    Google Scholar 

  9. Weinhardt, C., Anandasivam, A., Blau, B., Borissov, N., Meinl, T., Michalk, W., Stößer, J.: Cloud computing: a classification, business models, and research directions. Bus. Inf. Syst. Eng. 1, 391–399 (2009)

    Article  Google Scholar 

  10. Vaquero, L.M., Rodero-Merino, L., Caceres, J., Lindner, M.: A break in the clouds: towards a cloud definition. ACM SIGCOMM Comput. Commun. Rev. 39, 50–55 (2009)

    Article  Google Scholar 

  11. McGrath, R.G.: Business models: a discovery driven approach. Long Range Plan. 43, 247–261 (2010)

    Article  Google Scholar 

  12. Teece, D.J.: Business models, business strategy and innovation. Long Range Plan. 43, 172–194 (2010)

    Article  Google Scholar 

  13. Osterwalder, A., Pigneur, Y.: Business Model Generation: A Handbook for Visionaries, Game Changers, and Challengers. Wiley, Hoboken (2010)

    Google Scholar 

  14. Timmers, P.: Business models for electronic markets. Electron. Markets 8, 3–8 (1998)

    Article  Google Scholar 

  15. Hedman, J., Kalling, T.: The business model concept: theoretical underpinnings and empirical illustrations. Eur. J. Inf. Syst. 12, 49–59 (2003)

    Article  Google Scholar 

  16. Johnson, M., Christensen, C., Kagermann, H.: Reinventing your business model. In: Harvard Business Review on Business Model Innovation, pp. 47–70. Harvard Business Press, Boston (2008)

    Google Scholar 

  17. Calleja, P., Gardiner, C., Gryce, C., Guest, M., Lockley, J., Parchment, O., Stewart, I.: HPC-SIG Report 2010. UK High Performance Computing Special Interest Group (2010). http://www.hpc-sig.org/Publications?action=AttachFile&do=get&target=HPC-SIG_Report

  18. Reuther, A., Tichenor, S.: Making the business case for high performance computing: a benefit-cost analysis methodology. CTWatch Q. 2, 2–9 (2006)

    Google Scholar 

  19. De Boer, H.F., Enders, J., Leisyte, L.: Public sector reform in dutch higher education: the organizational transformation of the university. Public Adm. 85, 27–46 (2007)

    Article  Google Scholar 

  20. Schubert, T.: Empirical observations on new public management to increase efficiency in public research - boon or bane? Res. Policy 38, 1225–1234 (2009)

    Article  Google Scholar 

  21. SGI: SGI Cyclone: Results On Demand. Silicon Graphics International Corp, Fremont, CA (2014). https://www.sgi.com/pdfs/4205.pdf

  22. Kunszt, P., Maffioletti, S., Flanders, D., Eurich, M., Schiller, E., Bohnert, T.M., Edmonds, A., Stockinger, H., Jamakovic-Kapic, A., Haug, S.: In Proceedings of Euro-Par 2013: Parallel Processing Workshops Aachen, pp. 157–166. Germany (2014)

    Google Scholar 

  23. Kunszt, P., Maffioletti, S., Messina, A., Flanders, D., Mathys, S., Murri, R.: Academic Cloud Provisioning and Usage Project. Zurich, Switzerland (2013). https://wiki.systemsx.ch/display/cloudresult

  24. Sotomayor, B., Montero, R.S., Llorente, I.M., Foster, I.: Virtual infrastructure management in private and hybrid clouds. IEEE Internet Comput. 13, 14–22 (2009)

    Article  Google Scholar 

  25. Mell, P., Grance, T.: The NIST Definition of Cloud Computing. NIST Special Publication 800-145. US Department of Commerce, National Institute of Standards and Technology (2011). http://csrc.nist.gov/publications/nistpubs/800-145/SP800-145.pdf

  26. Eurich, M., Tahar, S., Boutellier, R.: Effizienzdruck und technologische Innovation im Hochschul-IT Management: Strukturwandel der ETH-Informatikdienste. Hochschulmanagement 2/2011, pp. 36–41 (2011)

    Google Scholar 

  27. Eurich, M., Calleja, P., Boutellier, R.: Business models of high performance computing centres in higher education in Europe. J. Comput. High. Educ. 25, 166–181 (2013)

    Article  Google Scholar 

  28. Chesbrough, H.: Business model innovation: opportunities and barriers. Long Range Plan. 43, 354–363 (2010)

    Article  Google Scholar 

  29. Bryman, A., Bell, E.: Business Research Methods. Oxford University Press, Oxford (2007)

    Google Scholar 

  30. Creswell, J.W.: Qualitative Inquiry And Research Design: Choosing Among Five Approaches. Sage Publications, Thousand Oaks (2012)

    Google Scholar 

  31. Urquhart, C.: An encounter with grounded theory: tackling the practical and philosophical issues. In: Qualitative Research in IS: Issues and Trends, pp. 104–140 (2000)

    Google Scholar 

  32. Campbell, D.T.: Pattern matching as an essential in distal knowing. In: Hammond, K.R. (ed.) The Psychology of Egon Brunswik, pp. 81–106. Holt, Rinehart and Winston, New York (1966)

    Google Scholar 

  33. Drucker, P.F.: They’re not employees, they’re people. Harvard Bus. Rev. 80, 70 (2002)

    Google Scholar 

  34. Drucker, P.F.: Beyond the information revolution. Atlantic Mon. 284, 47–59 (1999)

    Google Scholar 

  35. Pring, B.: Cloud Computing: The Next Generation of Outsourcing. Gartner (2010). http://www.gartner.com/DisplayDocument?id=1460416

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Markus Eurich .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Eurich, M., Boutellier, R. (2015). Revenue Streams and Value Propositions of Cloud-Based High Performance Computing in Higher Education. In: Obaidat, M., Holzinger, A., Filipe, J. (eds) E-Business and Telecommunications. ICETE 2014. Communications in Computer and Information Science, vol 554. Springer, Cham. https://doi.org/10.1007/978-3-319-25915-4_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-25915-4_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25914-7

  • Online ISBN: 978-3-319-25915-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics