Kademlia for data storage and retrieval in enterprise networks

  • Authors:
  • Natalya Fedotova;Stefano Fanti;Luca Veltri

  • Affiliations:
  • Department of Information Engineering, University of Parma, Italy;Department of Information Engineering, University of Parma, Italy;Department of Information Engineering, University of Parma, Italy

  • Venue:
  • COLCOM '07 Proceedings of the 2007 International Conference on Collaborative Computing: Networking, Applications and Worksharing
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

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.