Data Flow Dissemination in a Network

TL;DR

This paper analyzes data dissemination strategies in networks, comparing their stability and delay performance, especially focusing on Random-Useful and Oldest-Useful disciplines in symmetric and general network models.

Contribution

It establishes the maximum stability region for Random-Useful discipline and characterizes stability conditions for Oldest-Useful, with insights into delay behavior and performance comparisons.

Findings

RU has maximum stability in general networks

OU achieves maximum stability in symmetric networks

Delay behavior analyzed as network size grows

Abstract

We consider the following network model motivated, in particular, by blockchains and peer-to-peer live streaming. Data packet flows arrive at the network nodes and need to be disseminated to all other nodes. Packets are relayed through the network via links of finite capacity. A packet leaves the network when it is disseminated to all nodes. Our focus is on two communication disciplines, which determine the order in which packets are transmitted over each link, namely {\em Random-Useful} (RU) and {\em Oldest-Useful} (OU). We show that RU has the maximum stability region in a general network. For the OU we demonstrate that, somewhat surprisingly, it does {\em not} in general have the maximum stability region. We prove that OU does achieve maximum stability in the important special case of a symmetric network, given by the full graph with equal capacities on all links and equal arrival rates at all nodes. We also give other stability results, and compare different disciplines' performances in a symmetric system via simulation. Finally, we study the cumulative delays experienced by a packet as it propagates through the symmetric system, specifically the delay asymptotic behavior as $N \to \infty$. We put forward some conjectures about this behavior, supported by heuristic arguments and simulation experiments.