Self-stabilizing Uniform Reliable Broadcast

We study a well-known communication abstraction called Uniform Reliable Broadcast (URB). URB is central in the design and implementation of fault-tolerant distributed systems, as many non-trivial fault-tolerant distributed applications require communication with provable guarantees on message deliveries. Our study focuses on fault-tolerant implementations for time-free message-passing systems that are prone to node-failures. Moreover, we aim at the design of an even more robust communication abstraction. We do so through the lenses of self-stabilization—a very strong notion of fault-tolerance. In addition to node and communication failures, self-stabilizing algorithms can recover after the occurrence of arbitrary transient faults; these faults represent any violation of the assumptions according to which the system was designed to operate (as long as the algorithm code stays intact). We propose the first self-stabilizing URB algorithm for asynchronous (time-free) message-passing systems that are prone to node-failures. The algorithm recovers within O(bufferUnitSize) (in terms of asynchronous cycles) from transient faults, where bufferUnitSize is a predefined constant. Also, the communication costs are similar to the ones of the non-self-stabilizing URB. The main differences are that our proposal considers repeated gossiping of O(1 ) bits messages and deals with bounded space (which is a prerequisite for self-stabilization). Moreover, each node stores up\ua0to bufferUnitSize\ub7 n records of size O(ν+ nlog n) bits, where n is the number of nodes and ν is the number of bits needed to encode a single URB instance

Self-stabilizing Uniform Reliable Broadcast

International audienceWe study a well-known communication abstraction called Uniform Reliable Broadcast (URB). URB is central in the design and implementation of fault-tolerant distributed systems, as many non-trivial fault-tolerant distributed applications require communication with provable guarantees on message deliveries. Our study focuses on fault-tolerant implementations for time-free messagepassing systems that are prone to node-failures. Moreover, we aim at the design of an even more robust communication abstraction. We do so through the lenses of self-stabilization|a very strong notion of fault-tolerance. In addition to node and communication failures, self-stabilizing algorithms can recover after the occurrence of arbitrary transient faults; these faults represent any violation of the assumptions according to which the system was designed to operate (as long as the algorithm code stays intact). This work proposes the first self-stabilizing URB solution for time-free message-passing systems that are prone to node-failures. The proposed algorithm has an O(bufferUnitSize) stabilization time (in terms of asynchronous cycles) from arbitrary transient faults, where bufferUnitSize is a predefined constant that can be set according to the available memory. Moreover, the communication costs of our algorithm are similar to the ones of the non-self-stabilizing state-ofthe-art. The main differences are that our proposal considers repeated gossiping of O(1) bits,messages and deals with bounded space (which is a prerequisite for self-stabilization). Specifically, each node needs to store up to bufferUnitSize n records and each record is of size O(v + n log n) bits, where n is the number of nodes in the system and v is the number of bits needed to encode a single URB instance