• DocumentCode
    7055
  • Title

    Decentralized Edge Clouds

  • Author

    Chandra, Aniruddha ; Weissman, J. ; Heintz, B.

  • Author_Institution
    Univ. of Minnesota, Minneapolis, MN, USA
  • Volume
    17
  • Issue
    5
  • fYear
    2013
  • fDate
    Sept.-Oct. 2013
  • Firstpage
    70
  • Lastpage
    73
  • Abstract
    Cloud computing services are traditionally deployed on centralized computing infrastructures confined to a few data centers, while cloud applications run in a single data center. However, the cloud´s centralized nature can be limiting in terms of performance and cost for applications where users, data, and computation are distributed. The authors present an overview of distributed clouds that might be better suited for such applications. They briefly describe the distributed cloud landscape and introduce Nebula, a highly decentralized cloud that uses volunteer edge resources. The authors provide insights into some of its key properties and design issues, and describe a distributed MapReduce application scenario to illustrate the benefits and trade-offs of using distributed and decentralized clouds for distributed data-intensive computing applications.
  • Keywords
    cloud computing; Nebula; centralized computing infrastructures; cloud computing; decentralized edge clouds; distributed MapReduce application scenario; distributed clouds; distributed data-intensive computing applications; volunteer edge resources; Cloud computing; Computational modeling; Computer science; Data models; Distributed databases; Monitoring; cloud; data intensive computing; distributed systems;
  • fLanguage
    English
  • Journal_Title
    Internet Computing, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7801
  • Type

    jour

  • DOI
    10.1109/MIC.2013.93
  • Filename
    6596502