Skip to main content
SpringerLink
Log in

Towards an efficient distributed cloud computing architecture

  • Published:
Peer-to-Peer Networking and Applications Aims and scope Submit manuscript

Abstract

Cloud computing is an emerging field in computer science. Users are utilizing less of their own existing resources, while increasing usage of cloud resources. There are many advantages of distributed computing over centralized architecture. With increase in number of unused storage and computing resources and advantages of distributed computing resulted in distributed cloud computing. In the distributed cloud environment that we propose, resource providers (RP) compete to provide resources to the users. In the distributed cloud all the cloud computing and storage services are offered by distributed resources. In this architecture resources are used and provided by the users in a peer to peer fashion. We propose using multi-valued distributed hash tables for efficient resource discovery. Leveraging the fact that there are many users providing resources such as CPU and memory, we define these resources under one key to easily locate devices with equivalent resources. We have evaluated the performance of resource discovery mechanisms for the distributed cloud and distributed cloud storage and compared the results with existing DHTs, peer to peer clients such as VUZE [1] and explored the feasibility and efficiency of the proposed schemes in terms of resource/service discovery and allocation. We use a simultaneous Auction mechanism and select a set of winners once we receive all contributions or bids. In a real world scenario, users request resources with multiple capabilities, and in order to find such resources we use a contribution mechanism where service providers will provide a contribution price to users for providing a resource. Users use our proposed auction mechanism to select the resources from the set of resource providers. We show that Nash equilibrium can be achieved and how we can avoid the problem of free riders in the distributed cloud.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  1. VUZE, “http://www.vuze.com/corp/technology.php”, Retreived July 22, 2014

  2. Armbrust M, Fox A, Griffith R, Joseph A, Katz R, Konwinski A, Lee G, Patterson D, Rabkin A, Stoica I, Zaharia M (2009) Above the clouds: a Berkeley view of cloud computing, technical report EECS-2009-28, UC Berkeley

  3. Mell P, Grance T NIST definition of cloud computing, National Institute of Standards and Technology, Special Publication 800-145, 2011, “http://csrc.nist.gov/publications/nistpubs/800-145/SP800-145.pdf”, Retreived July 22, 2014

  4. Buyya R, Yeo CS, Venugopal S (2008) Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities, Proccedings 10th IEEE International Conference on. High Performance Computing and Communications,. HPCC’08. IEEE

  5. Barham P, Dragovic B, Fraser K, Hand S, Harris T, Ho A, Warfield A (2003) Xen and the art of virtualization. ACM SIGOPS Oper Syst Rev 37(5):164–177

    Article  Google Scholar 

  6. Amazon EC2, “http://aws.amazon.com/ec2/”, Retrieved July 22, 2014

  7. Fox A (2011) Cloud computing-what’s in it for me as a scientist. Science 331:406–407

    Article  Google Scholar 

  8. Endo PT, de Almeida Palhares AV, Pereira NN, Goncalves GE, Sadok D, Kelner J, Melander B, Mangs J-E (2011) Resource allocation for distributed cloud: concepts and research challenges. IEEE Netw 25(4):42–46

    Article  Google Scholar 

  9. Khethavath P, Thomas J, Chan-Tin E, Liu H (2013) Introducing a Distributed Cloud Architecture with Efficient Resource Discovery and Optimal Resource Allocation., Proceedings IEEE Ninth World Congress on Services (SERVICES), pp. 386–392. IEEE

  10. Church K, Greenberg A, Hamilton J (2008) On delivering embarrassingly distributed cloud services., Proceedings Hotnets-VII

  11. Anderson DP (2004) Boinc: A system for public-resource computing and storage., Proceedings Fifth IEEE/ACM International Workshop on Grid Computing

  12. Wei G et al. (2010) A game-theoretic method of fair resource allocation for cloud computing services. J Supercomput 54(2):252–269

    Article  Google Scholar 

  13. Maymounkov P, Mazieres D (2002) Kademlia: A peer-to-peer information system based on the xor metric., Revised Papers from the First International Workshop on Peer-to-Peer Systems, pp. 53–65, March 07–08

  14. Stoica I, Morris R, David K, Frans Kaashoek M, Balakrishnan H (2003) Chord: a scalable peer-to-peer lookup service for internet applications. IEEE/ACM Trans Networking 11(1):17–32

    Article  Google Scholar 

  15. Fletcher, George, Sheth H, Katy BÃ˝urner (2004) Unstructured peer-to-peer networks: topological properties and search performance, Proceedings of the Third international conference on Agents and Peer-to-Peer Computing

  16. Shu Y, Ooi BC, Tan K-L, Zhou A (2005) Supporting Multi-Dimensional Range Queries in Peer-to-Peer Systems, Proceedings of the Fifth IEEE International Conference on Peer-to-Peer Computing, pp.173–180, August 31–September 02

  17. Gupta A, Agrawal D, Abbadi El A (2003) Approximate range selection queries in peer-to-peer systems., Proceedings First Biennial Conf. on Innovative Data Systems Research CIDR

  18. Lawder JK, King PJH (2001) Querying multi-dimensional data indexed using the Hilbert space-filling curve. ACM SIGMOD Rec 30(1):19–24

    Article  Google Scholar 

  19. Rimal BP, Choi E, Lumb I (2009) A taxonomy and survey of cloud computing systems., Fifth International Joint Conference on INC, IMS and IDC, pages 44–51

  20. Fernndez-Baca D (1989) Allocating modules to processors in a distributed system. IEEE Trans Softw Eng 15(11):1427–1436

    Article  Google Scholar 

  21. Anderson DP, Cobb J, Korpela E, Lebofsky M, Werthimer D (2002) SETI@home: an experiment in public-resource computing. Commun ACM 45(11):56–61

    Article  Google Scholar 

  22. Attiya H, Welch J (2004) Distributed computing: fundamentals, simulations, and advanced topics. Wiley, Hoboken

    Book  MATH  Google Scholar 

  23. Schmidt C, Parashar M (2008) Squid: Enabling search in DHT-based systems. J Parallel Distrib Comput 68(7):962–975. doi:10.1016/j.jpdc.2008.02.003. ISSN 0743-7315

    Article  MATH  Google Scholar 

  24. Lee K, Choi T, Boykin PO, Figueiredo RJ (2013) MatchTree: Flexible, scalable, and fault-tolerant wide-area resource discovery with distributed matchmaking and aggregation. Futur Gener Comput Syst 29(6):1596–1610. doi:10.1016/j.future.2012.08.009. ISSN 0167-739X

    Article  Google Scholar 

  25. Cunsolo VD, Distefano S, Puliafito A, Scarpa M (2009) Cloud@ home: Bridging the gap between volunteer and cloud computing., Proceedings of the 5th international conference on Emerging intelligent computing technology and applications, September 16–19

  26. Xu K, Song M, Zhang X, Song J (2009) A Cloud Computing Platform Based on P2P, Proceedings IEEE International Symposium on IT in Medicine & Education, ITIME ‘09, vol.1, no., pp.427–432

  27. Babaoglu O, Marzolla M, Tamburini M (2012) Design and implementation of a P2P Cloud system, Proceedings 27th Annual ACM Symposium on Applied Computing (SAC ‘12), pp: 412–417

  28. Teng F, Magoules F (2010) A new game theoretical resource allocation algorithm for cloud computing., Proceedings of the 5th international conference on Advances in Grid and Pervasive Computing, May 10–13

  29. Yao D-Q, Liu JJ (2005) Competitive pricing of mixed retail and e-tail distribution channels. Omega 33(3):235–247 ISSN0305-0483

    Article  Google Scholar 

  30. Wang B et al. (2012) The research on cloud resource pricing strategies based on cournot equilibrium., In recent advances in computer science and information engineering. Springer Berlin Heidelberg, Heidelberg, pp. 253–259

    Book  Google Scholar 

  31. Qi SQ et al. (2012) A Novel P2P Network Model for Cloud Computing Based on Game Theory, Proceedings IEEE International Conference on Computer Science & Service System (CSSS)

  32. King data set, “https://pdos.csail.mit.edu/p2psim/kingdata”. Retreived July 22, 2014

  33. Dabek F et al. (2004) Vivaldi: A decentralized network coordinate system., ACM SIGCOMM Computer Communication Review. Vol. 34. No. 4. ACM

  34. Chan-Tin E, Hopper N (2011) Accurate and Provably Secure Latency Estimation with Treeple., Proceedings Network and Distributed System Security (NDSS)

  35. Martins V, Pacitti E, Valduriez P Survey of Data Replication in P2P Systems.”, Technical Report, 2006, http://hal.inria.fr/inria-00122282/”, Retreived July 23, 2014

Download references

Author information

Authors and Affiliations

  1. MEC Department, LaGuardia Community College, Long Island City, NY, 11101, USA

    Praveenkumar Khethavath

  2. CS Department, Oklahoma State University, Stillwater, OK, USA

    Johnson P. Thomas & Eric Chan-tin

Authors
  1. Praveenkumar Khethavath
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Johnson P. Thomas
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Eric Chan-tin
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Praveenkumar Khethavath.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Khethavath, P., Thomas, J.P. & Chan-tin, E. Towards an efficient distributed cloud computing architecture . Peer-to-Peer Netw. Appl. 10, 1152–1168 (2017). https://doi.org/10.1007/s12083-016-0468-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12083-016-0468-x

Keywords

Search

Navigation