• DocumentCode
    3540773
  • Title

    A Cloud Storage overlay to aggregate heterogeneous Cloud services

  • Author

    Machado, Guilherme Sperb ; Bocek, Thomas ; Ammann, Max ; Stiller, Burkhard

  • Author_Institution
    Dept. of Inf. IFI, Univ. of Zurich, Zurich, Switzerland
  • fYear
    2013
  • fDate
    21-24 Oct. 2013
  • Firstpage
    597
  • Lastpage
    605
  • Abstract
    Many Cloud services provide generic (e.g., Amazon S3 or Dropbox) or data-specific Cloud storage (e.g., Google Picasa or SoundCloud). Although both Cloud storage service types have the data storage in common, they present heterogeneous characteristics: different interfaces, accounting and charging schemes, privacy and security levels, functionality and, among the data-specific Cloud storage services, different data type restrictions. This paper proposes PiCsMu (Platform-independent Cloud Storage System for Multiple Usage), a novel approach exploiting heterogeneous data storage of different Cloud services by building a Cloud storage overlay, which aggregates multiple Cloud storage services, provides enhanced privacy, and offers a distributed file sharing system. As opposed to P2P file sharing, where data and indices are stored on peers, PiCsMu uses Cloud storage systems for data storage, while maintaining a distributed index. The main contribution of this work is to show the feasibility to store arbitrary data in different Cloud services for private use and/or for file sharing. Furthermore, the evaluation of the prototype confirms the scalability with respect to different file sizes and also shows that a moderate overhead in terms of storage and processing time is required.
  • Keywords
    cloud computing; data privacy; storage management; Amazon S3; Dropbox; Google Picasa; P2P file sharing; PiCsMu approach; SoundCloud; cloud storage overlay; data storage; data type restrictions; data-specific cloud storage; distributed file sharing system; distributed index; heterogeneous cloud services; heterogeneous data storage; peer-to-peer file sharing; platform-independent cloud storage system for multiple usage; privacy enhancement; processing time; service aggregation; storage time; Cascading style sheets; Cloud computing; Encryption; Indexes; Peer-to-peer computing; Servers; Cloud Computing; Cloud Overlay; Cloud Services; Cloud Storage; DHT; Data Validation; Peer-to-peer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Local Computer Networks (LCN), 2013 IEEE 38th Conference on
  • Conference_Location
    Sydney, NSW
  • ISSN
    0742-1303
  • Print_ISBN
    978-1-4799-0536-2
  • Type

    conf

  • DOI
    10.1109/LCN.2013.6761296
  • Filename
    6761296