Tunable Performance and Consistency Tradeoffs for Geographically Replicated Cloud Services (COLOR)

2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing Pub Date : 2015-11-03 DOI:10.1109/CSCloud.2015.33

Wenbo Zhu, Murray Woodside

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Abstract

COLOR (client-oriented layered optimistic replication) is a combination of optimistic and conservative data replication that allows cloud services to be replicated across widely distributed locations without suffering from the latency overhead of strict algorithms, and with quantifiable and controllable tradeoffs between performance and consistency guarantees. The COLOR solution adopts a layered approach to enable optimistic delivery of client messages on top of any existing storage layer that manages the strict replication of the cloud service. When clients may be temporarily exposed to inconsistent states due to replication failures, such inconsistency is made recoverable similar to "optimistic concurrency control" for clients that cache the server state. COLOR supports different numeric parameters to trade the strict consistency for better performance to possibly match Eventual Consistency, while the end-to-end consistency is always guaranteed as the storage layer will never deliver any client messages generated from inconsistent states.

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地理复制云服务的可调性能和一致性权衡(COLOR)

COLOR(面向客户端的分层乐观复制)是乐观和保守数据复制的组合，它允许在广泛分布的位置复制云服务，而不会遭受严格算法的延迟开销，并且在性能和一致性保证之间进行可量化和可控的权衡。COLOR解决方案采用分层方法，支持在管理云服务严格复制的任何现有存储层之上乐观地交付客户端消息。当客户机可能由于复制失败而暂时暴露于不一致状态时，这种不一致是可恢复的，类似于缓存服务器状态的客户机的“乐观并发控制”。COLOR支持不同的数字参数，以交换严格的一致性以获得更好的性能，以可能匹配最终一致性，而端到端一致性始终得到保证，因为存储层永远不会传递从不一致状态生成的任何客户端消息。

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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2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing

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