Scalability White Papers
On Collaborative Content Distribution Using Multi-Message Gossip
Overview This paper studies epidemic schemes in the context of collaborative data delivery. In this context, multiple chunks of data reside at different nodes, and the challenge is to simultaneously deliver all chunks to all nodes. Here the authors explores the inter-operation between the gossip of multiple, simultaneous message-chunks. In this setting, interacting nodes must select which chunk, among many, to exchange in every communication round. This paper provides an efficient solution that possesses the inherent robustness and scalability of gossip. The approach maintains the simplicity of gossip, and has low message, connections and computation overhead. Because the approach differs from solutions proposed by network coding, the authors are able to provide insight into the trade offs and analysis of the problem of collaborative content distribution.
| Publisher | Microsoft | File Format | |
|---|---|---|---|
| Date Published | February 2006 | ||
| Format | White Papers | ||
| Topics | |||
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