ECROs: building global scale systems from sequential code
| Autor: | Elisa Gonzalez Boix, Carla Ferreira, Nuno Preguiça, Kevin De Porre |
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| Přispěvatelé: | Faculty of Sciences and Bioengineering Sciences, Informatics and Applied Informatics, Software Languages Lab, NOVALincs, DI - Departamento de Informática |
| Rok vydání: | 2021 |
| Předmět: |
replication
eventual consistency Scala Interface (Java) Computer science Serialization Distributed computing Eventual consistency Data structure Data type Replication (computing) data structures Eventual Consistency Safety Risk Reliability and Quality Commutative property computer Software computer.programming_language |
| Zdroj: | Repositório Científico de Acesso Aberto de Portugal Repositório Científico de Acesso Aberto de Portugal (RCAAP) instacron:RCAAP |
| ISSN: | 2475-1421 |
| Popis: | Project number: 1S98519N To ease the development of geo-distributed applications, replicated data types (RDTs) offer a familiar programming interface while ensuring state convergence, low latency, and high availability. However, RDTs are still designed exclusively by experts using ad-hoc solutions that are error-prone and result in brittle systems. Recent works statically detect conflicting operations on existing data types and coordinate those at runtime to guarantee convergence and preserve application invariants. However, these approaches are too conservative, imposing coordination on a large number of operations. In this work, we propose a principled approach to design and implement efficient RDTs taking into account application invariants. Developers extend sequential data types with a distributed specification, which together form an RDT. We statically analyze the specification to detect conflicts and unravel their cause. This information is then used at runtime to serialize concurrent operations safely and efficiently. Our approach derives a correct RDT from any sequential data type without changes to the data type's implementation and with minimal coordination. We implement our approach in Scala and develop an extensive portfolio of RDTs. The evaluation shows that our approach provides performance similar to conflict-free replicated data types for commutative operations, and considerably improves the performance of non-commutative operations, compared to existing solutions. publishersversion published |
| Databáze: | OpenAIRE |
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