Skip to main content
SpringerLink
Log in

Dynamic Replication Based on a Data Classification Model in Cloud Computing

  • Conference paper
  • First Online:
Modelling and Implementation of Complex Systems (MISC 2020)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 156))

Abstract

Cloud Computing provides on demand resources for customers and enterprises to outsource their online activities efficiently and less expensively. However, the cloud environment is heterogeneous and very dynamic, storage node failures and increasing demands on data can lead to data unavailability situations leading to a decrease in quality of service. Cloud service providers face the challenge of ensuring maximum data availability and reliability. Replication of data to different nodes in the cloud has become the most common solution for achieving good performance in terms of load balancing, response time and availability. In this article, we propose a new dynamic replication strategy based on a data classification model that would adapt the replication process according to user behavior towards data. This strategy dynamically and adaptively creates the replicas necessary in order to obtain the desired performance such as, reduced response time and improved system availability while ensuring the quality of service. The solution also attempts to meet customer requirements by respecting the SLA contract. The CloudSim simulator was used to evaluate the proposed strategy and compare it to other strategies. The results obtained showed an improvement in the criteria studied in a satisfactory manner.

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 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
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

Similar content being viewed by others

References

  1. Mell, P., Grance, T.: The NIST definition of cloud computing recommendations of the national institute of standards and technology. J. NIST Spec. Publ. 145, 7 (2011)

    Google Scholar 

  2. Senyo, P.K., Addae, E., Boateng, R.: Cloud computing research: a review of research themes, frameworks, methods and future research directions. Int. J. Inf. Manag. 38(1), 128–139 (2018)

    Article  Google Scholar 

  3. Li, K.: Power and performance management for parallel computations in clouds and data centers. J. Comput. Syst. Sci. 82(2), 174–190 (2016)

    Article  MathSciNet  Google Scholar 

  4. Bokhari, M.U., Makki, Q., Tamandani, Y.K.: A survey on cloud computing. In: Aggarwal, V.B., Bhatnagar, V., Mishra, D.K. (eds.) Big Data Analytics. AISC, vol. 654, pp. 149–164. Springer, Singapore (2018). https://doi.org/10.1007/978-981-10-6620-7_16

    Chapter  Google Scholar 

  5. Kofahi, N.A., Al-Rabad, A.: Identifying the top threats in cloud computing and its suggested solutions: a survey. Adv. Netw. 6(1), 1–13 (2018)

    Article  Google Scholar 

  6. Malik, S.U.R., et al.: Performance analysis of data intensive cloud systems based on data management and replication: a survey. J. Distrib. Parallel Databases 34(2), 179–215 (2016). https://doi.org/10.1007/s10619-015-7173-2

  7. Tos, U., Mokadem, R., Hameurlain, A., Ayav, T., Bora, S.: Ensuring performance and provider profit through data replication in cloud systems. Cluster Comput. 21(3), 1479–1492 (2017). https://doi.org/10.1007/s10586-017-1507-y

    Article  Google Scholar 

  8. Ghemawat, S., Gobioff, H., Leung, S.-T.: The Google file system. In: Proceedings of SOSP, pp. 29–43 (2003)

    Google Scholar 

  9. Borthakur, D.: The Hadoop Distributed File System: Architecture and Design. Hadoop Project Website (2007)

    Google Scholar 

  10. Mansouri, Y., Buyya, R.: Dynamic replication and migration of data objects with hot-spot and cold-spot statuses across storage data centers. J. Parallel Distrib. Comput. 126, 121–133 (2019)

    Google Scholar 

  11. Mokadem, R., Hameurlain, A.: A data replication strategy with tenant performance and provider economic profit guarantees in cloud data centers. J. Syst. Softw. 159, 110447 (2020)

    Article  Google Scholar 

  12. Calheiros, R.N., Ranjan, R., Beloglazov, A., De Rose, C.A., Buyya, R.: CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Softw.: Pract. Exp. 41(1), 23–50 (2011)

    Google Scholar 

  13. Wei, Q., Veeravalli, B., Gong, B., Zeng, L., Feng, D.: CDRM: a cost-effective dynamic replication management scheme for cloud storage cluster. In: 2010 IEEE International Conference on Cluster Computing, Crete, Greece, pp. 188–196. IEEE (2010)

    Google Scholar 

  14. Li, W., Yang, Y., Yuan, D.: A novel cost-effective dynamic data replication strategy for reliability in cloud data centres. In: 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing, Sydney, NSW, Australia, pp. 496–502. IEEE (2011)

    Google Scholar 

  15. Boru, D., Kliazovich, D., Granelli, F., Bouvry, P., Zomaya, A.Y.: Energy-efficient data replication in cloud computing datacenters. Cluster Comput. 18(1), 385–402 (2015). https://doi.org/10.1007/s10586-014-0404-x

    Article  Google Scholar 

  16. Mansouri, N.: Adaptive data replication strategy in cloud computing for performance improvement. Front. Comput. Sci. 10(5), 925–935 (2016). https://doi.org/10.1007/s11704-016-5182-6

    Article  Google Scholar 

  17. Xue, M., Shen, J., Guo, X.: Two phase enhancing replica selection in cloud storage system. In 35th Chinese Control Conference, Chengdu, China, pp. 5255–5260. IEEE (2016)

    Google Scholar 

  18. He, L., Qian, Z., Shang, F.: A novel predicted replication strategy in cloud storage. J. Supercomput. 76(7), 4838–4856 (2018). https://doi.org/10.1007/s11227-018-2647-4

    Article  Google Scholar 

  19. Limam, S., Mokadem, R., Belalem, G.: Data replication strategy with satisfaction of availability, performance and tenant budget requirements. Cluster Comput. 22(4), 1199–1210 (2019). https://doi.org/10.1007/s10586-018-02899-6

    Article  Google Scholar 

  20. Sun, D., Chang, G., Gao, S., Jin, L.Z., Wang, X.W.: Modeling a dynamic data replication strategy to increase system availability in cloud computing environments. J. Comput. Sci. Technol. 27(2), 256–272 (2012). https://doi.org/10.1007/s11390-012-1221-4

  21. Meroufel, B., Belalem, G.: Dynamic replication based on availability and popularity in the presence of failures. J. Inf. Process. Syst. 8(2), 263–278 (2012)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Laboratoire d’Informatique d’Oran - LIO, University Oran 1, Oran, Algeria

    Imad Eddine Miloudi, Belabbas Yagoubi & Fatima Zohra Bellounar

Authors
  1. Imad Eddine Miloudi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Belabbas Yagoubi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Fatima Zohra Bellounar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Belabbas Yagoubi .

Editor information

Editors and Affiliations

  1. Faculty of New Information and Communication Technologies, University of Constantine 2, Constantine, Algeria

    Salim Chikhi

  2. Faculty of Technology, University of Saida, Saida, Algeria

    Abdelmalek Amine

  3. Faculty of New Information and Communication Technologies, University of Constantine 2, Constantine, Algeria

    Allaoua Chaoui

  4. Faculty of New Information and Communication Technologies, University of Constantine 2, Constantine, Algeria

    Djamel Eddine Saidouni

  5. Faculty of Science and Technology, Department of Mathematics and Computer Science, University of El Oued, El-Oued, Algeria

    Mohamed Khireddine Kholladi

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Miloudi, I.E., Yagoubi, B., Bellounar, F.Z. (2021). Dynamic Replication Based on a Data Classification Model in Cloud Computing. In: Chikhi, S., Amine, A., Chaoui, A., Saidouni, D., Kholladi, M. (eds) Modelling and Implementation of Complex Systems. MISC 2020. Lecture Notes in Networks and Systems, vol 156. Springer, Cham. https://doi.org/10.1007/978-3-030-58861-8_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-58861-8_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58860-1

  • Online ISBN: 978-3-030-58861-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation