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Large-scale distributed storage systems often replicate data across servers and even geographically-distributed data centers for high availability, while existing theories like CAP and PACELC show that there is a tradeoff between availability and consistency. Thus eventual consistency is proposed to provide highly available storage systems. However, current practice is mainly experience-based and...
Large-scale distributed storage systems often replicate data across servers and even geographically-distributed data centers for high availability, while existing theories like CAP and PACELC show that there is a tradeoff between availability and consistency. However, current practice is mainly experience-based and lacks quantitative analysis for identifying a good tradeoff between the two. In this...
Existing theories like CAP and PACELC have claimed that there are tradeoffs between some pairs of performance measures in distributed replication systems, such as consistency and latency. However, current systems take a very vague view on how to balance those tradeoffs, e.g. eventual consistency. In this work, we are concerned with providing a quantitative analysis on consistency and latency for widely-used...
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