文章基本信息

标题：Reliable State Machines: A Framework for Programming Reliable Cloud Services
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作者：Suvam Mukherjee ; Nitin John Raj ; Krishnan Govindraj 等
期刊名称：LIPIcs : Leibniz International Proceedings in Informatics
电子版ISSN：1868-8969
出版年度：2019
卷号：134
页码：1-29
DOI：10.4230/LIPIcs.ECOOP.2019.18
出版社：Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
摘要：Building reliable applications for the cloud is challenging because of unpredictable failures during a program's execution. This paper presents a programming framework, called Reliable State Machines (RSMs), that offers fault-tolerance by construction. In our framework, an application comprises several (possibly distributed) RSMs that communicate with each other via messages, much in the style of actor-based programming. Each RSM is fault-tolerant by design, thereby offering the illusion of being "always-alive". An RSM is guaranteed to process each input request exactly once, as one would expect in a failure-free environment. The RSM runtime automatically takes care of persisting state and rehydrating it on a failover. We present the core syntax and semantics of RSMs, along with a formal proof of failure-transparency. We provide a .NET implementation of the RSM framework for deploying services to Microsoft Azure. We carry out an extensive performance evaluation on micro-benchmarks to show that one can build high-throughput applications with RSMs. We also present a case study where we rewrite a significant part of a production cloud service using RSMs. The resulting service has simpler code and exhibits production-grade performance.
关键词：Fault tolerance; Cloud computing; Actor framework