Distributed database replication game theory

Also, these systems perform well on variable latency environments, if the logic allows nodes to reply with close approximations to queries e. Your email address will not be published. This site uses Akismet to reduce spam. Learn how your comment data is processed. IT Hare on Soft. Unfortunately, you cannot have more than two of these properties at the same time. Don't like this post? This material is distributed exactly as it arrived from the data depositor.

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Camerer Version : View help for Version V1. Thereby, the optimization process becomes highly localized. Such localized optimization may severely affect the overall system performance. To cope with such localized optimization, we propose a "semi-distributed" axiomatic game theoretical mechanism. The mechanism's control is unique in its decision making process, wherein all the heavy processing is done on the servers of the distributed system and the central body is only required to take a binary decision: 0 not to replicate or 1 to replicate.