Skip to main content

Static and Dynamic Hosting of Cloud Servers

  • Conference paper
  • First Online:
Computer Performance Engineering (EPEW 2015)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 9272))

Included in the following conference series:

Abstract

The problem of maximizing the profit achieved by hiring servers from a Cloud and offering virtual machines to paying customers is examined. A number of VMs, each running a user job, can share a server. Hiring a server incurs an initial set-up cost, as well as running costs proportional to the duration of hire. New jobs that cannot start immediately may be lost, or they may be queued. It may or may not be possible to move running VMs from server to server. The effect of these different conditions on several hiring policies, both static and dynamic, is analyzed and evaluated.

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bennani, M.N., Menascé, D.: Resource allocation for autonomic data centers using analytic performance methods. In: Procs., 2nd IEEE Conf. on Autonomic Computing (ICAC 2005), pp. 229–240 (2005)

    Google Scholar 

  2. Bodík, P., Griffith, R., Sutton, C., Fox, A., Jordan, M., Patterson, D.: Statistical machine learning makes automatic control practical for internet datacenters. In: Conf. on Hot Topics in Cloud Computing (HotCloud 2009), Berkeley, CA, USA (2009)

    Google Scholar 

  3. Chaisiri, S., Lee, B.S., Niyato, D.: Optimization of resource provisioning cost in cloud computing. IEEE Transactions on Services Computing 5(2), 164–177 (2012)

    Article  Google Scholar 

  4. Chandra, A., Gong, W., Shenoy, P.D.: Dynamic resource allocation for shared data centers using online measurements. In: Jeffay, K., Stoica, I., Wehrle, K. (eds.) IWQoS 2003. LNCS, vol. 2707, pp. 381–400. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  5. Gandhi, A., Harchol-Balter, M., Adan, I.: Server farms with setup costs. Performance Evaluation 67(11), 1123–1138 (2010)

    Article  Google Scholar 

  6. Ghribi, C., Hadji, M., Zeghlache, D.: Energy efficient VM scheduling for cloud data centers: exact allocation and migration algorithms. In: 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computingpp, 671–678 (2013)

    Google Scholar 

  7. Mazzucco, M., Dyachuk, D., Dikaiakos, M.: Profit-aware server allocation for green internet services. In: IEEE Int. Symp. on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS), pp. 277–284 (2010)

    Google Scholar 

  8. Mazzucco, M., Vasar, M., Dumas, M.: Squeezing out the cloud via profit-maximizing resource allocation policies. In: IEEE Int. Symp. on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS), pp. 19–28 (2012)

    Google Scholar 

  9. McGough, A.S., Mitrani, I.: Optimal hiring of cloud servers. In: Horváth, A., Wolter, K. (eds.) EPEW 2014. LNCS, vol. 8721, pp. 1–15. Springer, Heidelberg (2014)

    Google Scholar 

  10. Messerli, E.J.: Proof of a convexity property of the Erlang B formula. Bell System Technical Journal 51, 951–953 (1972)

    Article  MathSciNet  Google Scholar 

  11. Mitrani, I.: Probabilistic Modelling. Cambridge University Press (1998)

    Google Scholar 

  12. Mitrani, I.: Trading power consumption against performance by reserving blocks of servers. In: Tribastone, M., Gilmore, S. (eds.) UKPEW 2012 and EPEW 2012. LNCS, vol. 7587, pp. 1–15. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  13. Urgaonkar, R., Kozat, U.C., Igarashi, K., Neely, M.J.: Dynamic resource allocation and power management in virtualized data centers. In: IEEE/IFIP NOMS 2010, Osaka, Japan (2010)

    Google Scholar 

  14. Voorsluys, W., Broberg, J., Venugopal, S., Buyya, R.: Cost of virtual machine live migration in clouds: a performance evaluation. In: Jaatun, M.G., Zhao, G., Rong, C. (eds.) Cloud Computing. LNCS, vol. 5931, pp. 254–265. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Paul Ezhilchelvan .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Ezhilchelvan, P., Mitrani, I. (2015). Static and Dynamic Hosting of Cloud Servers. In: Beltrán, M., Knottenbelt, W., Bradley, J. (eds) Computer Performance Engineering. EPEW 2015. Lecture Notes in Computer Science(), vol 9272. Springer, Cham. https://doi.org/10.1007/978-3-319-23267-6_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-23267-6_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23266-9

  • Online ISBN: 978-3-319-23267-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics