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<oembed><version>1.0</version><provider_name>Microsoft Research</provider_name><provider_url>https://www.microsoft.com/en-us/research</provider_url><author_name>Tricia Mayer</author_name><author_url>https://www.microsoft.com/en-us/research/people/tmayer/</author_url><title>Optimistic Replication - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="99DnUIrwQ9"&gt;&lt;a href="https://www.microsoft.com/en-us/research/publication/optimistic-replication/"&gt;Optimistic Replication&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/optimistic-replication/embed/#?secret=99DnUIrwQ9" width="600" height="338" title="&#x201C;Optimistic Replication&#x201D; &#x2014; Microsoft Research" data-secret="99DnUIrwQ9" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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</html><description>Data replication is a key technology in distributed data sharing systems, enabling higher availability and performance. This paper surveys optimistic replication algorithms that allow replica contents to diverge in the short term, in order to support concurrent work practices and to tolerate failures in low-quality communication links. The importance of such techniques is increasing as [&hellip;]</description></oembed>
