Skip to main content
main-content
Top

Hint

Swipe to navigate through the articles of this issue

13-11-2020 | Issue 6/2021

The Journal of Supercomputing 6/2021

A CSO-based approach for secure data replication in cloud computing environment

Journal:
The Journal of Supercomputing > Issue 6/2021
Authors:
N. Mansouri, M. M. Javidi, B. Mohammad Hasani Zade
Important notes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Abstract

Cloud computing has a significant impact on information technology solutions for both organizations and researchers. Different users share critical data over the cloud where failures are normal rather than exceptional. Therefore, data fragmentation and data replication algorithms are useful to enhance data security. Three important questions need to be answered carefully: (1) Which files should be replicated; (2) how many appropriate new replicas should be placed; (3) where the new replicas should be stored. In this paper, we propose a CSO-based approach for secure data replication (SDR) that determines suitable data center for new replica by designing a smart fuzzy inference system with four inputs as centrality, energy, storage usage, and load. In addition, a high-quality knowledge base is designed to describe the fuzzy system of CSO algorithm. To obtain a higher level of security, we partition each popular file into several fragments with different sizes based on the ability of data centers. Then, these fragments are stored based on the T-coloring concept to prevent an attacker from determining the locations of the fragments. Consequently, SDR protects the data file without any encryption technique since each data center has a single fragment of a particular file and no meaningful data are achieved in a successful attack. We evaluate the proposed algorithm with CloudSim toolkit, and the experiments show that SDR strategy can reduce the total energy consumption and response time by 31% and 28% (on average) compared to other related algorithms, respectively. In terms of storage usage, effective network usage, hit ratio, mean latency, load variance, number of replications, efficiency, and bandwidth consumption, the obtained results indicate that our strategy outperforms previous replication methods by a significant margin. The main reason is that SDR successfully balances the trade-offs among objectives by the fuzzy system.

Please log in to get access to this content

To get access to this content you need the following product:

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 58.000 Bücher
  • über 300 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Testen Sie jetzt 30 Tage kostenlos.

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 50.000 Bücher
  • über 380 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Umwelt
  • Maschinenbau + Werkstoffe




Testen Sie jetzt 30 Tage kostenlos.

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 69.000 Bücher
  • über 500 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Umwelt
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Testen Sie jetzt 30 Tage kostenlos.

Literature
About this article

Other articles of this Issue 6/2021

The Journal of Supercomputing 6/2021 Go to the issue

Premium Partner

    Image Credits