Skip to main content
SpringerLink
Log in

A Survey on SLA and Performance Measurement in Cloud Computing

  • Conference paper
On the Move to Meaningful Internet Systems: OTM 2011 (OTM 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7045))

Abstract

Cloud computing has changed the strategy used for providing distributed services to many business and government agents. Cloud computing delivers scalable and on-demand services to most users in different domains. However, this new technology has also created many challenges for service providers and customers, especially for those users who already own complicated legacy systems. This paper reviews the challenges related to the concepts of trust, SLA management, and cloud computing. We begin with a survey of cloud computing architecture. Then, we discuss existing frameworks of service level agreements in different domains such as web services and grid computing. In the last section, we discuss the advantages and limitations of current performance measurement models for SOA, distributed systems, grid computing, and cloud services. Finally, we summarize and conclude our work.

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. Katzan Jr., H.: On An Ontological View of Cloud Computing. Journal of Service Science (JSS) 3 (2011)

    Google Scholar 

  2. Wyld, D.C.: Moving to the cloud: An intro. to cloud computing in government. IBM Center for the Bus. of Government (2009)

    Google Scholar 

  3. Vaquero, L.M., et al.: A break in the clouds: towards a cloud defin. ACM SIGCOMM Comp. Comm. Rev. 39, 50–55 (2008)

    Article  Google Scholar 

  4. Mell, P., Grance, T.: Draft nist working definition of cloud computing (referenced on June 3, 2009)

    Google Scholar 

  5. Ludwig, H., et al.: Web service level agreement (WSLA) language specification. IBM Corporation (2003)

    Google Scholar 

  6. Tosic, V.: WSOL Version 1.2: Carleton Univ., Dept. of Systems and Comp. Eng. (2004)

    Google Scholar 

  7. Andrieux, A., et al.: Web services agree. spec. (WS-Agreement) (2004)

    Google Scholar 

  8. Sahai, A., et al.: Specifying and monitoring guarantees in commercial grids through SLA (2003)

    Google Scholar 

  9. Leff, A., et al.: Service-level agreements and commercial grids. IEEE Internet Computing 7, 44–50 (2003)

    Article  Google Scholar 

  10. Keung, H.N.L.C., et al.: Self-adaptive and self-optimising resource monitoring for dynamic grid environ., pp. 689–693 (2004)

    Google Scholar 

  11. Padgett, J., et al.: Predictive adaptation for service level agreements on the grid. International Journal of Simulation: Systems, Science and Technology 7, 29–42 (2006)

    Google Scholar 

  12. Stantchev, V., et al.: Neg. and enforcing qos and slas in grid and cloud comp. Adv. in Grid and Perv. Comp., 25–35 (2009)

    Google Scholar 

  13. Wen, C.H., et al.: A SLA-based dynamically integrating services Saas framework, pp. 306–311

    Google Scholar 

  14. Kounev, S., Buchmann, A.: Performance modeling and evaluation of large-scale J2EE applications, pp. 273–284 (2003)

    Google Scholar 

  15. Walter, A., Potter, D.: Compos., Performance Analy. and Simulation of Web Services (2007)

    Google Scholar 

  16. Rud, D., et al.: Performance modeling of ws-bpel-based web service compositions, pp. 140–147 (2006)

    Google Scholar 

  17. Menascé, D.A., et al.: A heuristic approach to optimal service selection in service oriented architectures, pp. 13–24 (2008)

    Google Scholar 

  18. Kalepu, S., et al.: Verity: a QoS metric for selecting Web services and providers, pp. 131–139 (2003)

    Google Scholar 

  19. Yeom, G., Min, D.: Design and implementation of web services qos broker (2005)

    Google Scholar 

  20. Kim, D., et al.: Improving Web services performance using priority allocation method (2005)

    Google Scholar 

  21. Guster, D., et al.: Computing and netw. Perform. of a distr. parallel processing environ. using MPI and PVM commun. methods. J. Computing Sci. in Colleges 18, 246–253 (2003)

    Google Scholar 

  22. Evangelinos, C., et al.: Cloud Comput. for paral. Sci. HPC Applic. Feasib. of run. Coup. Atmos. Ocean Climate Models on Amazon’s EC2. Ratio 2, 2.34 (2008)

    Google Scholar 

  23. Jureta, I., et al.: A comprehensive quality model for service-oriented systems. Software Qual. Journal 17, 65–98 (2009)

    Article  Google Scholar 

  24. Cherkasova, L., Gardner, R.: Measur. CPU overhead for I/O processing in the Xen virtual machine monitor, p. 24 (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Curtin University, Australia

    Mohammed Alhamad, Tharam Dillon & Elizabeth Chang

Authors
  1. Mohammed Alhamad
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Tharam Dillon
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Elizabeth Chang
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. STAR Lab, Vrije Universiteit Brussel (VUB), Bldg G/10, Pleinlaan 2, 1050, Brussel, Belgium

    Robert Meersman

  2. DEBII, Curtin University of Technology, Technology Park, De Laeter Way, 6102, Bentley, WA, Australia

    Tharam Dillon

  3. Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo S/N, 28660, Boadilla del Monte, Madrid, Spain

    Pilar Herrero

  4. Smeal College of Business, Pennsylvania State University, University Park, 16802, P.O. Box, PA, U.S.A.

    Akhil Kumar

  5. Institute of Databases and Information Systems, Ulm University, Germany

    Manfred Reichert

  6. City University of Hong Kong, Hong Kong

    Li Qing

  7. National University of Singapore (NUS), Singapore

    Beng-Chin Ooi

  8. Dipartemento Tecnologie dell’Informazione, Universitá degli Studi di Milano, Via Bramante 65, 26013, Crema, Italy

    Ernesto Damiani

  9. Vanderbilt University, VU, Station B #1829, 2015 Terrace Place, 37203, Nashville, TN, USA

    Douglas C. Schmidt

  10. Virginia Tech, 24060, Blacksburg, VA

    Jules White

  11. Digital Enterprise Research Institute (DERI),, National University of Ireland, IDA Business Park, Lower Dangan, Galway, Ireland

    Manfred Hauswirth

  12. Kno.e.sis Center, Wright State University, Dayton,, Ohio

    Pascal Hitzler

  13. IBM India Research Lab, 4, Block C, Institutional Area, 110 070, Vasant Kunj, New Delhi, India

    Mukesh Mohania

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Alhamad, M., Dillon, T., Chang, E. (2011). A Survey on SLA and Performance Measurement in Cloud Computing. In: Meersman, R., et al. On the Move to Meaningful Internet Systems: OTM 2011. OTM 2011. Lecture Notes in Computer Science, vol 7045. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25106-1_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-25106-1_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25105-4

  • Online ISBN: 978-3-642-25106-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation