IDEAS home Printed from https://ideas.repec.org/a/ids/ijnvor/v20y2019i3p301-317.html
   My bibliography  Save this article

An efficient replication scheme based on living-replicas estimation for distributed storage platforms

Author

Listed:
  • Ying Hu

Abstract

In the past few years, massive storage platforms are playing critical roles in many practical distributed systems (i.e., grid or cloud). To ensure desirable data availability, replication mechanism has been widely applied in those massive storage platforms. Meanwhile, a high level of data redundancy inevitably degrades the performance of storage management and bandwidth utilisation. In this paper, we propose an intelligent replication scheme which leverages failure pattern of storage nodes to estimate the actual number of living-replicas in a storage platform. In this way, the storage platform can make more accurate decisions on how many replicas should be generated for maintaining a given data availability. Extensive experiments based on real-world traces indicate that the proposed replication scheme can significantly reduce the overall data redundancy and maintain desirable data availability at the same time.

Suggested Citation

  • Ying Hu, 2019. "An efficient replication scheme based on living-replicas estimation for distributed storage platforms," International Journal of Networking and Virtual Organisations, Inderscience Enterprises Ltd, vol. 20(3), pages 301-317.
  • Handle: RePEc:ids:ijnvor:v:20:y:2019:i:3:p:301-317
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=100183
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijnvor:v:20:y:2019:i:3:p:301-317. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=22 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.