ConSysT: tunable, safe consistency meets object-oriented programming

M. Köhler, Nafise Eskandani Masoule, Alessandro Margara, G. Salvaneschi
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Abstract

Data replication is essential in scenarios like geo-distributed datacenters, but poses challenges for data consistency. Developers adopt Strong consistency at the cost of performance or embrace Weak consistency and face a higher programming complexity. We argue that languages should associate consistency to data types. We present , a programming language and middleware that provides abstractions to specify consistency types, enabling mixing different consistency levels in the same application. Such mechanism is fully integrated with object-oriented programming and type system guarantees that different levels can only be mixed correctly.
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ConSysT:可调的、安全的一致性符合面向对象编程
在地理分布式数据中心等场景中,数据复制是必不可少的,但对数据一致性提出了挑战。开发人员以性能为代价采用强一致性,或者采用弱一致性并面临更高的编程复杂性。我们认为语言应该将一致性与数据类型联系起来。我们提出了一种编程语言和中间件,它提供了指定一致性类型的抽象,从而可以在同一应用程序中混合不同的一致性级别。这种机制与面向对象编程和类型系统完全集成,保证了不同级别只能正确混合。
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ConSysT: tunable, safe consistency meets object-oriented programming An inductive abstract semantics for coFJ Prusti: deductive verification for Rust (keynote) Proceedings of the 22nd ACM SIGPLAN International Workshop on Formal Techniques for Java-Like Programs History-based specification and verification of Java collections in KeY (keynote)
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