Breaking the Scalability Barrier of Causal Broadcast for Large and Dynamic Systems

Autor:	Nédelec, Brice, Molli, Pascal, Mostéfaoui, Achour
Rok vydání:	2018
Předmět:	Computer Science - Distributed Parallel and Cluster Computing Computer Science - Data Structures and Algorithms
Druh dokumentu:	Working Paper
Popis:	Many distributed protocols and applications rely on causal broadcast to ensure consistency criteria. However, none of causality tracking state-of-the-art approaches scale in large and dynamic systems. This paper presents a new non-blocking causal broadcast protocol suited for dynamic systems. The proposed protocol outperforms state-of-the-art in size of messages, execution time complexity, and local space complexity. Most importantly, messages piggyback control information the size of which is constant. We prove that for both static and dynamic systems. Consequently, large and dynamic systems can finally afford causal broadcast. Comment: 11 pages
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1805.05201 Zobrazit plný text záznamu View this record from Arxiv