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.
Kademlia for data storage and retrieval in enterprise networks / N., Fedotova; S., Fanti; Veltri, Luca. - (2007), pp. 382-386. (Intervento presentato al convegno 3rd International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2007) tenutosi a White Plains, New York, USA nel November 12-15, 2007) [10.1109/COLCOM.2007.4553860].
Kademlia for data storage and retrieval in enterprise networks
VELTRI, Luca
2007-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.