Advertisement

Multi-cloud System for Content Sharing Using RAID-Like Fragmentation

  • Takumi Murakami
  • Shinji SugawaraEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1036)

Abstract

This paper proposes a multi-cloud content sharing system using a RAID-like storage and a redundancy avoidance technique aiming at high speed data transmission and capacity efficiency. The proposed method reduces files’ upload and download times by not only using replications of fragmented files but also using RAID-like file fragmentation and parity files. The effectiveness of the proposal is evaluated by actual experiments over the Internet.

Notes

Acknowledgement

This work was partially supported by JSPS KAKENHI Grant Number JP17K00134.

References

  1. 1.
    Cisco Visual Networking Index: Forecast and Trends, 2017–2022. White paper, Cisco public. https://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/white-paper-c11-741490.pdf
  2. 2.
    Sugawara, S.: Survey of cloud-based content sharing research: taxonomy of system models and case examples. IEICE Trans. Commun. E100-B(04), 484–499 (2017)CrossRefGoogle Scholar
  3. 3.
    Abu-Libdeh, H., Princehouse, L., Weatherspoon, H.: RACS: a case of cloud storage diversity. In: Proceedings SoCC 2010. ACM, June 2010Google Scholar
  4. 4.
    Horiuchi, K.: MyCloud: a high-performance, secure, distributed storage system combining several vendors’ cloud storage services. Comput. Softw. JSSST 29(2), 158–167 (2010)MathSciNetGoogle Scholar
  5. 5.
    Shamir, A.: How to share a secret. Commun. ACM 22(11), 612–613 (1979)MathSciNetCrossRefGoogle Scholar
  6. 6.
    Sugino, H., Nakano, T., Sugawara, S.: Efficient content sharing by multiple users with RAID based multi-cloud storages. In: Proceedings of IEEE International Conference on Cloud Networking (CloudNet), October 2018Google Scholar
  7. 7.
    Patterson, D.A., Gibson, G., Katz, R.H.: A case for redundant arrays of inexpensive disks (RAID). ACM SIGMOD Rec. 17, 109–116 (1988)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Chiba Institute of TechnologyNarashinoJapan

Personalised recommendations