Measurement of the number of conflicting updates and conflict resolution is important to judge the practicality of optimistic replication. An environment where conflicting updates are frequent will not be attractive since users cannot assume they have up-to-date data. Although many conflicts can be automatically resolved, some conflicts require user intervention; such conflicts cannot be too common. This paper shows an approach to measure the number of conflicting updates. From this measurement we derive the actual amount of work done by the user or system to resolve conflicts and the minimum amount of work required to resolve conflicts.
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@techreport{Heidemann95d,
author = "John Heidemann and Ashvin Goel and Gerald Popek",
title = "Defining and Measuring Conflicts
in Optimistic Replication",
institution = "University of California, Los Angeles",
year = "1995",
number = "UCLA-CSD-950033",
pages = "11",
month = "September",
keywords = "ficus, conflict measurement, conflict definition",
url = "http://www.isi.edu/~johnh/PAPERS/Heidemann95d.html",
psurl = "http://www.isi.edu/~johnh/PAPERS/Heidemann95d.ps.gz",
pdfurl = "http://www.isi.edu/~johnh/PAPERS/Heidemann95d.pdf",
organization = "University of California, Los Angeles",
}
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