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dc.contributor.advisorNir Shavit.en_US
dc.contributor.authorGelashvili, Ratien_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2014-09-19T19:37:56Z
dc.date.available2014-09-19T19:37:56Z
dc.date.copyright2014en_US
dc.date.issued2014en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/89859
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.en_US
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 65-68).en_US
dc.description.abstractAsynchronous message-passing system is a standard distributed model, where n processors communicate over unreliable channels, controlled by a strong adaptive adversary. The asynchronous nature of the system and the fact that t<n2 processors may fail by crashing are the great obstacles for designing efficient algorithms. Leader election (test-and-set) and renaming are two fundamental distributed tasks. We prove that both tasks can be solved using expected O(n²) messages -- the same asymptotic complexity as a single all-to-all broadcast -- and that this message complexity is in fact optimal.en_US
dc.description.statementofresponsibilityby Rati Gelashvili.en_US
dc.format.extent68 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleLeader election and renaming with optimal message complexityen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc890151019en_US


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