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dc.contributor.authorHayden, Marken_US
dc.contributor.authorBirman, Kenneth P.en_US
dc.date.accessioned2007-04-23T18:01:03Z
dc.date.available2007-04-23T18:01:03Z
dc.date.issued1995-03en_US
dc.identifier.citationhttp://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR95-1493en_US
dc.identifier.urihttps://hdl.handle.net/1813/7151
dc.description.abstractEven the most aggressive quality assurance procedures yield at best probabilistic confidence in the reliability of complex systems. Distributed systems, because of their large numbers of components, are enormously complex engineering artifacts, and hence may appear to be inherently unreliable -- despite the best efforts of researchers and developers. A cellular distributed systems architecture offers the hope of drastically improving the reliability of current technologies in settings where reliability is critical. The approach combines a stateful style of distributed computing within cells with a loosely coupled probabilistic inter-cell computing model based on a probabilistic broadcast primitive. We give an implementation of this primitive, called pbcast, and demonstrate how to use it to implement this methodology. Our approach is compatible with the use of popular distributed computing and reliability technologies, while offering considerable isolation against the spread of failures among cells.en_US
dc.format.extent403498 bytes
dc.format.extent966777 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.language.isoen_USen_US
dc.publisherCornell Universityen_US
dc.subjectcomputer scienceen_US
dc.subjecttechnical reporten_US
dc.titleAchieving Critical Reliability With Unreliable Components andUnreliable Glueen_US
dc.typetechnical reporten_US


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