3rd International ICST Conference on Collaborative Computing: Networking, Applications and Worksharin

Research Article

Kademlia for data storage and retrieval in enterprise networks

  • @INPROCEEDINGS{10.1109/COLCOM.2007.4553860,
        author={Natalya Fedotova and Stefano Fanti and Luca Veltri},
        title={Kademlia for data storage and retrieval in enterprise networks},
        proceedings={3rd International ICST Conference on Collaborative Computing: Networking, Applications and Worksharin},
        publisher={IEEE},
        proceedings_a={COLLABORATECOM},
        year={2008},
        month={6},
        keywords={Distributed Hash Tables  Kademlia  data storage  enterprise network  retrieval system},
        doi={10.1109/COLCOM.2007.4553860}
    }
    
  • Natalya Fedotova
    Stefano Fanti
    Luca Veltri
    Year: 2008
    Kademlia for data storage and retrieval in enterprise networks
    COLLABORATECOM
    IEEE
    DOI: 10.1109/COLCOM.2007.4553860
Natalya Fedotova1, Stefano Fanti1, Luca Veltri1
  • 1: Department of Information Engineering, University of Parma, Italy

Abstract

Centralized organization of current enterprise networks doesn’t represent an ideal solution in terms of information security and reliability. Denial of service, packet filtering and low resistance to failure are frequent shortcomings of centralized systems. To avoid the above problems we introduce a distributed P2P data organization system to the enterprise environment. We propose to apply Kademlia-based Distributed Hash Tables to organize data storage and retrieval systems of enterprise networks. Due to a tree-like structure of the identifier space and a prefix matching lookup algorithm, Kademlia is easy adaptable to the context of enterprise hierarchy, e.g. it facilitates the assignment of different privileges regarding data access, to various system entities. We present a solution that provides geographically separated users of enterprise networks with possibility to share, modify and publish data in parallel way.