Efficient Counting with Optimal Resilience

In the synchronous $c$-counting problem, we are given a synchronous system of $n$ nodes, where up to $f$ of the nodes may be Byzantine, that is, have arbitrary faulty behaviour. The task is to have all of the correct nodes count modulo $c$ in unison in a self-stabilising manner: regardless of the initial state of the system and the faulty nodes' behavior, eventually rounds are consistently labelled by a counter modulo $c$ at all correct nodes. We provide a deterministic solution with resilience $f<n/3$ that stabilises in $O(f)$ rounds and every correct node broadcasts $O(\log^2 f)$ bits per round. We build and improve on a recent result offering stabilisation time $O(f)$ and communication complexity $O(\log^2 f /\log \log f)$ but with sub-optimal resilience $f = n^{1-o(1)}$ (PODC 2015). Our new algorithm has optimal resilience, asymptotically optimal stabilisation time, and low communication complexity. Finally, we modify the algorithm to guarantee that after stabilisation very little communication occurs. In particular, for optimal resilience and polynomial counter size $c=n^{O(1)}$, the algorithm broadcasts only $O(1)$ bits per node every $\Theta(n)$ rounds without affecting the other properties of the algorithm; communication-wise this is asymptotically optimal

EFFICIENT COUNTING WITH OPTIMAL RESILIENCE

Consider a complete communication network of n nodes, where the nodes receive a common clock pulse. We study the synchronous c-counting problem: given any starting state and up to f faulty nodes with arbitrary behavior, the task is to eventually have all correct nodes labeling the pulses with increasing values modulo c in agreement. Thus, we are considering algorithms that are self-stabilizing despite Byzantine failures. In this work, we give new algorithms for the synchronous counting problem that (1) are deterministic, (2) have optimal resilience, (3) have a linear stabilization time in f (asymptotically optimal), (4) use a small number of states, and, consequently, (5) communicate a small number of bits per round. Prior algorithms either resort to randomization, use a large number of states and need high communication bandwidth, or have suboptimal resilience. In particular, we achieve an exponential improvement in both state complexity and message size for deterministic algorithms. Moreover, we present two complementary approaches for reducing the number of bits communicated during and after stabilization.Peer reviewe

Minimizing Message Size in Stochastic Communication Patterns: Fast Self-Stabilizing Protocols with 3 bits

This paper considers the basic $\mathcal{PULL}$ model of communication, in which in each round, each agent extracts information from few randomly chosen agents. We seek to identify the smallest amount of information revealed in each interaction (message size) that nevertheless allows for efficient and robust computations of fundamental information dissemination tasks. We focus on the Majority Bit Dissemination problem that considers a population of $n$ agents, with a designated subset of source agents. Each source agent holds an input bit and each agent holds an output bit. The goal is to let all agents converge their output bits on the most frequent input bit of the sources (the majority bit). Note that the particular case of a single source agent corresponds to the classical problem of Broadcast. We concentrate on the severe fault-tolerant context of self-stabilization, in which a correct configuration must be reached eventually, despite all agents starting the execution with arbitrary initial states. We first design a general compiler which can essentially transform any self-stabilizing algorithm with a certain property that uses $\ell$-bits messages to one that uses only $\log \ell$-bits messages, while paying only a small penalty in the running time. By applying this compiler recursively we then obtain a self-stabilizing Clock Synchronization protocol, in which agents synchronize their clocks modulo some given integer $T$, within $\tilde O(\log n\log T)$ rounds w.h.p., and using messages that contain $3$ bits only. We then employ the new Clock Synchronization tool to obtain a self-stabilizing Majority Bit Dissemination protocol which converges in $\tilde O(\log n)$ time, w.h.p., on every initial configuration, provided that the ratio of sources supporting the minority opinion is bounded away from half. Moreover, this protocol also uses only 3 bits per interaction.Comment: 28 pages, 4 figure

Efficient Counting with Optimal Resilience

In the synchronous $c$-counting problem, we are given a synchronous system of $n$ nodes, where up to $f$ of the nodes may be Byzantine, that is, have arbitrary faulty behaviour. The task is to have all of the correct nodes count modulo $c$ in unison in a self-stabilising manner: regardless of the initial state of the system and the faulty nodes' behavior, eventually rounds are consistently labelled by a counter modulo $c$ at all correct nodes. We provide a deterministic solution with resilience $f<n/3$ that stabilises in $O(f)$ rounds and every correct node broadcasts $O(\log^2 f)$ bits per round. We build and improve on a recent result offering stabilisation time $O(f)$ and communication complexity $O(\log^2 f /\log \log f)$ but with sub-optimal resilience $f = n^{1-o(1)}$ (PODC 2015). Our new algorithm has optimal resilience, asymptotically optimal stabilisation time, and low communication complexity. Finally, we modify the algorithm to guarantee that after stabilisation very little communication occurs. In particular, for optimal resilience and polynomial counter size $c=n^{O(1)}$, the algorithm broadcasts only $O(1)$ bits per node every $\Theta(n)$ rounds without affecting the other properties of the algorithm; communication-wise this is asymptotically optimal