Skip to main content
SpringerLink
Log in

Peer-to-peer service provisioning in cloud computing environments

  • Published:
The Journal of Supercomputing Aims and scope Submit manuscript

Abstract

This paper aims to advance the management and delivery of services in large, heterogeneous, uncertain, and evolving cloud computing environments. The goal is important because such systems are becoming increasingly popular, yet existing service management methods do not scale well, and nor do they perform well under highly unpredictable conditions. If these problems can be solved, then Information Technology (IT) services can be made to operate in more scalable and reliable manner.

In this paper, we present a peer-to-peer approach for managing services in large scale, dynamic, and evolving cloud computing environments. The system components such as virtualized services, computing servers, storage, and databases self-organize themselves using a peer-to-peer networking overlay. Inter-networking system components through peer-to-peer routing and information dissemination structure is essential to avoid the problems of management bottleneck and single point of failure that is predominantly associated with traditional centralized and hierarchical distributed (grids/clouds) system design approaches. We have validated our approach by conducting a set of rigorous performance evaluation study using the Amazon EC2 cloud computing environment. The results prove that managing services based on peer-to-peer routing and information dissemination structure is feasible and offers significant performance benefits as regards to overall system reliability, scalability, and self-management.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Amazon auto scaling service (2010) http://aws.amazon.com/autoscaling/. Accessed: May 25, 2010

  2. Amazon cloudwatch service (2010) http://aws.amazon.com/cloudwatch/. Accessed: May 25, 2010

  3. Amazon elastic mapreduce service (2010) http://aws.amazon.com/elasticmapreduce/. Accessed: May 25, 2010

  4. Amazon load balancer service (2010) http://aws.amazon.com/elasticloadbalancing/. Accessed: May 25, 2010

  5. An open source pastry dht implementation (2010) http://freepastry.rice.edu/FreePastry. Accessed: May 25, 2010

  6. Armbrust M, Fox A, Griffith R, Joseph AD, Katz RH, Konwinski A, Lee G, Patterson DA, Rabkin A, Stoica I, Zaharia M (2009) Above the clouds: a Berkeley view of cloud computing. Technical Report UCB/EECS-2009-28, EECS Department, University of California, Berkeley, Feb

  7. Bakhtiari S, Safavi-naini R, Pieprzyk J, Centre Computer (1995) Cryptographic hash functions: a survey. Technical report

  8. Balakrishnan H, Frans Kaashoek M, Karger D, Morris R, Stoica I (2003) Looking up data in p2p systems. Commun ACM 46(2):43–48

    Article  Google Scholar 

  9. Bharambe AR, Agrawal M, Seshan S (2004) Mercury: supporting scalable multi-attribute range queries. Comput Commun Rev 34(4):353–366

    Article  Google Scholar 

  10. Buyya R, Yeo CS, Venugopal S, Broberg J, Brandic I (2009) Cloud computing and emerging it platforms: vision, hype, and reality for delivering computing as the 5th utility. Future Gener Comput Syst 25(6):599–616

    Article  Google Scholar 

  11. Chu X, Nadiminti K, Jin C, Venugopal S, Buyya R (2007) Aneka: next-generation enterprise grid platform for e-science and e-business applications. In: E-SCIENCE ’07: proceedings of the third IEEE international conference on e-science and grid computing, Washington, DC, USA. IEEE Computer Society Press, Los Alamitos, pp 151–159

    Chapter  Google Scholar 

  12. Eucalyptus systems (2010) http://www.eucalyptus.com/. Accessed: May 25, 2010

  13. Force.com cloud solutions (saas) (2010) http://www.salesforce.com/platform/. Accessed: May 25, 2010

  14. Ganesan P, Yang B, Garcia-Molina H (2004) One torus to rule them all: multi-dimensional queries in p2p systems. In: WebDB ’04: proceedings of the 7th international workshop on the web and databases, New York, NY, USA. ACM Press, New York, pp 19–24

    Google Scholar 

  15. Gillett FE, Brown EG, Staten J, Lee C (2008) Future view: the new tech ecosystems of cloud, cloud services, and cloud computing. Technical report, Forrester Research, Inc

  16. GoGrid Cloud Hosting (2010) (f5) load balancer. GoGrid wiki, http://wiki.gogrid.com/wiki/index.php/(F5)-Load-Balancer. Accessed: May 25, 2010

  17. Google app engine (2010) http://code.google.com/appengine/. Accessed: May 25, 2010

  18. Gupta I, Birman K, Linga P, Demers Al, van Renesse R (2003) Kelips: building an efficient and stable p2p dht through increased memory and background overhead. In: Proceedings of the 2nd international workshop on peer-to-peer systems (IPTPS ’03)

    Google Scholar 

  19. Gupta A, Sahin OD, Agrawal D, El Abbadi A (2004) Meghdoot content-based publish/subscribe over p2p networks. In: Middleware ’04: proceedings of the 5th ACM/IFIP/USENIX international conference on middleware, New York, NY, USA. Springer, New York, pp 254–273

    Google Scholar 

  20. Karger D, Lehman E, Leighton T, Panigrahy R, Levine M, Lewin D (1997) Consistent hashing and random trees: distributed caching protocols for relieving hot spots on the world wide web. In: STOC ’97: proceedings of the twenty-ninth annual ACM symposium on theory of computing, New York, NY, USA. ACM Press, New York, pp 654–663

    Chapter  Google Scholar 

  21. Lee YC, Zomaya A (2010) Rescheduling for reliable job completion with the support of clouds. Future Gener Comput Syst. doi:10.1016/j.future.2010.02.010

  22. Li J, Stribling J, Gil TM, Morris R, Frans Kaashoek M (2005) Comparing the performance of distributed hash tables under churn. In: Lecture notes in computer science. Springer, Berlin, pp 87–99

    Google Scholar 

  23. Lua EK, Crowcroft J, Pias M, Sharma R, Lim S (2005) A survey and comparison of peer-to-peer overlay network schemes. IEEE Commun Surv Tutor 7(2):72–93

    Article  Google Scholar 

  24. Mosso cloud platform (2010) http://www.rackspacecloud.com. Accessed: May 25, 2010

  25. Openvpn (2010) http://openvpn.net/. Accessed: May 25, 2010

  26. Parashar M, Gnanasambandam N, Quiroz A, Kim H, Sharma N (2009) Towards autonomic workload provisioning for enterprise grids and clouds. In: Proceedings of the 10 th IEEE/ACM international conference on grid computing (Grid 2009), pp 50–57

    Google Scholar 

  27. Preneel B (1999) The state of cryptographic hash functions. In: Lectures on data security: modern cryptology in theory and practice, 1994. Lecture notes in computer science, vol 1561. Springer, Berlin, pp 158–182

    Google Scholar 

  28. Ranjan R (2007) Coordinated resource provisioning in federated grids. PhD thesis, The University of Melbourne

  29. Ranjan R, Harwood A, Buyya R (2008) Peer-to-peer-based resource discovery in global grids: a tutorial. IEEE Commun Surv Tutor 10(2):6–33

    Article  Google Scholar 

  30. Ratnasamy S, Francis P, Handley M, Karp R, Shenker, S (2001) A scalable content-addressable network. In: SIGCOMM ’01: proceedings of the 2001 conference on applications, technologies, architectures, and protocols for computer communications, New York, NY, USA. ACM Press, New York, pp 161–172

    Chapter  Google Scholar 

  31. Rejila cloud platform (2010) http://www.rejila.com/. Accessed: May 25, 2010

  32. Rochwerger B, Breitgand D, Levy E, Galis A, Nagin K, Llorente IM, Montero R, Wolfsthal Y, Elmroth E, Caceres J, Ben-Yehuda M, Emmerich W, Galan F (2009) The reservoir model and architecture for open federated cloud computing. IBM J Res Dev 53(4). http://dl.acm.org/citation.cfm?id=1850659.1850663

  33. Rowstron AIT, Druschel P (2001) Pastry: scalable, decentralized object location, and routing for large-scale peer-to-peer systems. In: Middleware ’01: proceedings of the IFIP/ACM international conference on distributed systems platforms heidelberg, London, UK. Springer, Berlin, pp 329–350

    Google Scholar 

  34. Spence D, Crowcroft J, Hand S, Harris T (2005) Location based placement of whole distributed systems. In: CoNEXT ’05: proceedings of the 2005 ACM conference on emerging network experiment and technology, New York, NY, USA. ACM Press, New York, pp 124–134

    Chapter  Google Scholar 

  35. Stoica I, Morris R, Liben-Nowell D, Karger DR, Frans Kaashoek M, Dabek F, Balakrishnan H (2003) Chord: a scalable peer-to-peer lookup protocol for internet applications. IEEE/ACM Trans Netw 11(1):17–32

    Article  Google Scholar 

  36. Tanin E, Harwood A, Samet H (2007) Using a distributed quadtree index in peer-to-peer networks. VLDB J 16(2):165–178

    Article  Google Scholar 

  37. The S. Reservoir (2008) Reservoir—an ict infrastructure for reliable and effective delivery of services as utilities. Technical report, IBM Research

  38. Varia J (2009) Cloud architectures. Technical report, Amazon Web Services

  39. Vpn-cubed (2010) http://www.cohesiveft.com/vpncubed/. Accessed: May 25, 2010

  40. Windows azure platform (2010) http://www.microsoft.com/azure/. Accessed: May 25, 2010

  41. Zhang X, Freschl JL, Schopf JM (2003) A performance study of monitoring and information services for distributed systems. In: High performance distributed computing. Proceedings 12th IEEE international symposium on, 22–24 2003, pp 270–281

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Service Oriented Computing (SOC) Research Group, School of Computer Science and Engineering, The University of New South Wales, Sydney, Australia

    Rajiv Ranjan & Liang Zhao

  2. Information Engineering Laboratory, CSIRO Information and Communication Technologies (ICT) Centre, North Road, Acton, ACT, 2601, Australia

    Rajiv Ranjan

Authors
  1. Rajiv Ranjan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Liang Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Rajiv Ranjan.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Ranjan, R., Zhao, L. Peer-to-peer service provisioning in cloud computing environments. J Supercomput 65, 154–184 (2013). https://doi.org/10.1007/s11227-011-0710-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11227-011-0710-5

Keywords

Search

Navigation