Simizer: evaluating consistency trade offs through simulation

PaPEC '14 Pub Date : 2014-04-13 DOI:10.1145/2596631.2596642
Sylvain Lefebvre, Sathiya Prabhu Kumar, Raja Chiky
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引用次数: 6

Abstract

Eventually consistent data stores are a widely used solution to the scalability issues arising for modern applications and web based services. Due to the scale of such services, it is necessary to be able to simulate such infrastructures and application protocols in order to assess the correctness and performance of the system over realistic workloads at development time. This paper describes Simizer, a new cloud computing platform simulator focusing on distributed services protocol performance evaluation. Usability of this simulator is shown through a sample implementation of an optimistic replication policy for a distributed storage service.
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模拟:通过模拟评估一致性权衡
最终,一致的数据存储是解决现代应用程序和基于web的服务出现的可伸缩性问题的一种广泛使用的解决方案。由于此类服务的规模,有必要能够模拟此类基础设施和应用程序协议,以便在开发时在实际工作负载上评估系统的正确性和性能。本文介绍了一种新型的云计算平台模拟器Simizer,该模拟器主要用于分布式服务协议的性能评估。该模拟器的可用性通过分布式存储服务的乐观复制策略的样例实现来展示。
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