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Rafting multiplayer video games
Author(s) -
Pozzan Gabriele,
Vardanega Tullio
Publication year - 2022
Publication title -
software: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 70
eISSN - 1097-024X
pISSN - 0038-0644
DOI - 10.1002/spe.3048
Subject(s) - computer science , scalability , transferability , provisioning , distributed computing , resilience (materials science) , video game , fault tolerance , multimedia , human–computer interaction , computer network , machine learning , physics , logit , database , thermodynamics
Consensus is a central concern for distributed systems, paramount for fault‐tolerant applications. Online multiplayer (video) games are an attractive instance of highly distributed application, where user experience requires resilience provisioning that includes distributed consensus. In this work, we report on experiments we performed on the use of the Raft consensus algorithm in two Proof‐of‐Concept instances of famous video games. Our experiments aim to show the feasibility of such a novel architectural approach, and to assess the ensuing scalability quantitatively against game‐specific performance metrics. To enable the transferability of this effort, we discuss our implementation choices and testing method, as well as the findings from said empirical evaluation.