A hamming distance and fuzzy logic-based algorithm for P2P content distribution in enterprise networks

Abstract

The rise in cloud storage and services in enterprise networks requires agile methods of content distribution, such as general-purpose files, software patches, image files, and other information. The work in this paper proposes a peer selection algorithm in BitTorrent to distribute content in enterprise networks. Peers execute this algorithm with a new special role called Internal Swarm Coordinator, ISC for short. Additions to the protocol allow peers from an Internal Swarm to cooperate in a coordinated manner, with an ISC acting as an orchestra director for a given broadcast domain. The proposed scheme uses two approaches: a Hamming distance to select the best peers enforcing productive connections between hosts, and fuzzy logic to handle peer load. This work includes a UDP-based protocol to select ISCs, and a procedure to define the behavior of this unique host. Also, to ensure backward compatibility, a description of how other peers can interact with this special role is given.