Abstract
Consensus is a fundamental problem in distributed systems, involving the challenge of achieving agreement among distributed nodes. It plays a critical role in various distributed data management problems. This tutorial aims to provide a comprehensive primer for data management researchers on the topic of consensus and its fundamental and modern applications in data management. We begin by exploring the basic principles of consensus, including the problem statement, system models, failure scenarios, and various consensus algorithms such as Paxos and its variants. The tutorial then delves into the applications of consensus in distributed data management, focusing on distributed atomic commitment and data replication. We explain how consensus is integral to these areas and present examples of research and industry work that apply consensus to data management. The tutorial extends to modern use cases of consensus in the evolving landscapes of edge-cloud systems and blockchain technology. We discuss how consensus mechanisms are being adapted and applied in these areas, highlighting their growing importance in emerging areas of data management. By exploring these cutting-edge applications, participants will gain insights into how consensus is shaping ongoing and future research on distributed data management. The tutorial builds on the authors' recent book "Consensus in Data Management: from Distributed Commit to Blockchain". The book will serve as the foundation and reading material for the tutorial. This tutorial targets data management researchers and practitioners to equip them with the knowledge and perspective needed to innovate in these emerging fields. This includes graduate students and junior researchers starting their careers in the area of distributed data management. Also, it includes researchers in other areas of data management who wish to explore the area of distributed data management with the goal of utilizing it in their own fields.
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