A Comparison of Consistency Control Protocols
1989
- 49Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage49
- Downloads40
- Abstract Views9
Report Description
In this paper we analyze three protocols for maintaining the mutual consistency of replicated objects in a distributed computing environment and compare their performance with that of an oracle protocol whose performance is optimal. We examine these protocols, two dynamic protocols and the majority consensus protocol, via simulations using two measures of availability. The analysis shows that the dynamic protocols, under realistic assumptions, do not perform significantly better than the static voting scheme. Finally we demonstrate that none of these approaches perform as well as our oracle protocol which is shown to be an upper bound on availability.
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