Design and evaluation of a conit-based continuous consistency model for replicated services

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A Survey on Distributed Machine Learning (2019, methodology): “The algorithm can be compared to Conits [167] used in distributed systems, because it speci � es the data on which the workers are working and consistency is to be measured.”
SHARP: an architecture for secure resource peering (2003, background): “In this case there is a close relationship between OD and consistency metrics for bounded weak consistency [52].”
More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server (2013, methodology): “The TACT model [26] describes consistency along three dimensions: numerical error, order error, and staleness.”
Transactional storage for geo-replicated systems (2011, background): “Transactions in Walter ensure a new isolation property called Parallel Snapshot Isolation (PSI), which provides a balance be-tween consistency and latency [22, 54], as appropriate for web applications.”
Solving the Straggler Problem with Bounded Staleness (2013, methodology): “For example, the TACT model captures continuous consistency using three metrics: numerical error, order error and staleness [21].”
Exploiting Bounded Staleness to Speed Up Big Data Analytics (2014, methodology): “For example, the TACT model [31] describes consistency along three dimensions: numerical error, order error and staleness.”