Author :
Leitão, João ; Marques, João Pedro ; Pereira, José ; Rodrigues, Luis
Abstract :
Gossip, or epidemic, protocols have emerged as a highly scalable and resilient approach to implement several application level services such as reliable multicast, data aggregation, publish-subscribe, among others. All these protocols organize nodes in an unstructured random overlay network. In many cases, it is interesting to bias the random overlay in order to optimize some efficiency criteria, for instance, to reduce the stretch of the overlay routing. In this paper we propose X-BOT, a new protocol that allows to bias the topology of an unstructured gossip overlay network. X-BOT is completely decentralized and, unlike previous approaches, preserves several key properties of the original (non-biased) overlay (most notably, the node degree and consequently, the overlay connectivity). Experimental results show that X-BOT can generate more efficient overlays than previous approaches.
Keywords :
computer networks; optimisation; routing protocols; telecommunication network topology; X-BOT; overlay routing protocol; resilient unstructured random overlay network optimization; unstructured gossip overlay network topology; Broadcasting; Cost function; Maintenance; Multicast protocols; Network topology; Peer to peer computing; Publish-subscribe; Redundancy; Routing; Sampling methods; Distributed Systems; Network Protocols; Peer-to-Peer; Unstructured Overlay Networks;