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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>G. Ramalingam</author_name><author_url>https://www.microsoft.com/en-us/research/people/grama/</author_url><title>Consistency in distributed systems - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="06faTRoAhq"&gt;&lt;a href="https://www.microsoft.com/en-us/research/publication/consistency-distributed-systems/"&gt;Consistency in distributed systems&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/consistency-distributed-systems/embed/#?secret=06faTRoAhq" width="600" height="338" title="&#x201C;Consistency in distributed systems&#x201D; &#x2014; Microsoft Research" data-secret="06faTRoAhq" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>In distributed systems, there exists a fundamental trade-off between data consistency, availability, and the ability to tolerate failures. This trade-off has significant implications on the design of the entire distributed computing infrastructure such as storage systems, compilers and runtimes, application development frameworks and programming languages. Unfortunately, it also has significant, and poorly understood, implications for [&hellip;]</description></oembed>
