增强了MapReduce的故障检测机制

2012 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2012-07-02 DOI:10.1109/HPCSim.2012.6266995

Bunjamin Memishi, María S. Pérez, Gabriel Antoniu

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引用次数: 2

摘要

MapReduce编程模型的流行增加了研究界对其改进的兴趣。在这些研究方向中，容错点，具体地说是故障检测问题似乎是一个至关重要的问题，但到目前为止还没有达到令人满意的水平。受此启发，我决定在此期间主要研究MapReduce框架的原型系统架构，并提供新的故障检测服务，包括分析(理论)部分和实现部分。我有信心，这项工作将为任何NoSQL应用程序框架和云存储系统的故障检测做出进一步的贡献。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Enhanced failure detection mechanism in MapReduce

The popularity of MapReduce programming model has increased interest in the research community for its improvement. Among the other directions, the point of fault tolerance, concretely the failure detection issue seems to be a crucial one, but that until now has not reached its satisfying level. Motivated by this, I decided to devote my main research during this period into having a prototype system architecture of MapReduce framework with a new failure detection service, containing both analytical (theoretical) and implementation part. I am confident that this work should lead the way for further contributions in detecting failures to any NoSQL App frameworks, and cloud storage systems in general.

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2012 International Conference on High Performance Computing & Simulation (HPCS)

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