Skip to main content
SpringerLink
Log in

SLA-Based Resource Provisioning for Heterogeneous Workloads in a Virtualized Cloud Datacenter

  • Conference paper
Algorithms and Architectures for Parallel Processing (ICA3PP 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7016))

Abstract

Efficient provisioning of resources is a challenging problem in cloud computing environments due to its dynamic nature and the need for supporting heterogeneous applications with different performance requirements. Currently, cloud datacenter providers either do not offer any performance guarantee or prefer static VM allocation over dynamic, which lead to inefficient utilization of resources. Earlier solutions, concentrating on a single type of SLAs (Service Level Agreements) or resource usage patterns of applications, are not suitable for cloud computing environments. In this paper, we tackle the resource allocation problem within a datacenter that runs different type of application workloads, particularly non-interactive and transactional applications. We propose admission control and scheduling mechanism which not only maximizes the resource utilization and profit, but also ensures the SLA requirements of users. In our experimental study, the proposed mechanism has shown to provide substantial improvement over static server consolidation and reduces SLA Violations.

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

Access this chapter

Log in via an institution
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. Azoff, E.: Neural network time series forecasting of financial markets. John Wiley & Sons, Inc., New York (1994)

    Google Scholar 

  2. Beloglazov, et al.: A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems. In: Zelkowitz, M. (ed.) Advances in Computers. Elsevier, Amsterdam (2011) ISBN 13: 978-0-12-012141-0

    Google Scholar 

  3. Buyya, et al.: Cloud Computing and Emerging IT Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility. FGCS 25(6), 599–616 (2009)

    Article  Google Scholar 

  4. Carrera, D., Steinder, M., Whalley, I., Torres, J., Ayguadé, E.: Enabling resource sharing between transactional and batch workloads using dynamic application placement. In: Issarny, V., Schantz, R. (eds.) Middleware 2008. LNCS, vol. 5346, pp. 203–222. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  5. Dodonov, E., de Mello, R.: A novel approach for distributed application scheduling based on prediction of communication events. FGCS 26(5), 740–752 (2010)

    Article  Google Scholar 

  6. Iosup, A., Epema, D.: Grid computing workloads: Bags of tasks, workflows, pilots, and others. IEEE Internet Computing 99(PrePrints) (2010)

    Google Scholar 

  7. Iosup, et al.: The grid workloads archive. FGCS 24(7), 672–686 (2008)

    Article  Google Scholar 

  8. Kim, J.K., Siegel, H.J., Maciejewski, A.A., Eigenmann, R.: Dynamic resource management in energy constrained heterogeneous computing systems using voltage scaling. IEEE Trans. Parallel Distrib. Syst. 19(11), 1445–1457 (2008)

    Article  Google Scholar 

  9. Meng, et al.: Efficient resource provisioning in compute clouds via vm multiplexing. In: Proc. of the 7th Intl. Conf. on Auton. Comp., Washington, DC, USA (2010)

    Google Scholar 

  10. Mohammadi, S., Abbasi-Nejad, H.: Forecasting With Matlab. 129.3.20.41/eps/prog/papers/0505/0505001.pdf (2005)

    Google Scholar 

  11. Park, K., Pai, V.: CoMon: a mostly-scalable monitoring system for PlanetLab. ACM SIGOPS Operating Systems Review 40(1), 65–74 (2006)

    Article  Google Scholar 

  12. Quiroz, et al.: Towards autonomic workload provisioning for enterprise grids and clouds. In: Proc. of 10th IEEE/ACM Intl. Conf. on Grid Comp., USA (2009)

    Google Scholar 

  13. Singh, et al.: Autonomic mix-aware provisioning for non-stationary data center workloads. In: Proc. of the 7th Intl. Conf. on Autc. Comp., USA (2010)

    Google Scholar 

  14. Smith, et al.: Secure on-demand grid computing. FGCS 25(3), 315–325 (2009)

    Article  Google Scholar 

  15. Sotomayor, et al.: Combining batch execution and leasing using virtual machines. In: Proc. of the 17th Intl. Sym. on HPDC, Boston, MA, USA (2008)

    Google Scholar 

  16. Soundararajan, et al.: The impact of mngt. operations on the virtualized datacenter. In: Proc. of the 37th Ann. Intl. Sym. on Comp. Arch., France (2010)

    Google Scholar 

  17. Srinivasa, et al.: An efficient fuzzy based neuro-genetic algorithm for stock market prediction. Intl. Jnl. of Hyb. Intelligent Sys. 3(2), 63–81 (2006)

    Article  MATH  Google Scholar 

  18. Wang, et al.: Capacity and performance overhead in dynamic resource allocation to virtual containers. In: Proc. of the 10th IFIP/IEEE Intl. Symp. on Intgd. Net. Mangt., Munich, Germany (2007)

    Google Scholar 

  19. Yeo, C., Buyya, R.: Service Level Agreement based Alloc. of Cluster Resources: Handling Penalty to Enhance Utility. In: Proc. of the 7th IEEE Intl. Conf. on Cluster Comp., Boston, USA (2005)

    Google Scholar 

  20. Zhang, et al.: Agile resource management in a virtualized data center. In: Proc. of Ist Joint WOSP/SIPEW Intl. Conf. on Perf. Eng., California, USA (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Cloud Computing and Distributed Systems Laboratory Department of Computer Science and Software Engineering, The University of Melbourne, Australia

    Saurabh Kumar Garg, Srinivasa K. Gopalaiyengar & Rajkumar Buyya

Authors
  1. Saurabh Kumar Garg
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Srinivasa K. Gopalaiyengar
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Rajkumar Buyya
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Information Technology, Deakin University, Melbourne Burwood Campus, 221 Burwood Highway, 3125,, Burwood, VIC, Australia

    Yang Xiang

  2. ICAR-CNR and University of Calabria, Via P. Bucci 41 C, 87036, Rende (CS), Italy

    Alfredo Cuzzocrea

  3. School of Information Technology, Deakin University, Geelong Waurn Ponds Campus, Pigdons Road, 3217, Geelong, VIC, Australia

    Michael Hobbs

  4. School of Information Technology, Deakin University, Melbourne Burwood Campus, 221 Burwood Highway, 3125, Burwood, VIC, Australia

    Wanlei Zhou

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Garg, S.K., Gopalaiyengar, S.K., Buyya, R. (2011). SLA-Based Resource Provisioning for Heterogeneous Workloads in a Virtualized Cloud Datacenter. In: Xiang, Y., Cuzzocrea, A., Hobbs, M., Zhou, W. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2011. Lecture Notes in Computer Science, vol 7016. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24650-0_32

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-24650-0_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24649-4

  • Online ISBN: 978-3-642-24650-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation