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dc.contributor.advisorJohn N. Tsitsiklis.en_US
dc.contributor.authorNeumayer, Sebastian Jamesen_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2007-08-29T20:41:39Z
dc.date.available2007-08-29T20:41:39Z
dc.date.copyright2007en_US
dc.date.issued2007en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/38666
dc.descriptionThesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.en_US
dc.descriptionIncludes bibliographical references (p. 57).en_US
dc.description.abstractThis thesis addresses the question of how to efficiently allocate resources among competing players in convex environments. We will analyze the efficiency loss of certain two-sided market mechanisms involving both consumers and suppliers that are natural extensions of Johari's thesis. After gaining intuition about the mechanisms, we show that their worst case efficiency loss approaches 100%. We then introduce some supply-side market mechanisms in a network setting. In the market mechanisms we study, every player submits a bid which specifies a demand or supply function from a parameterized family. Then, the mechanism allocates resources so that supply meets demand.en_US
dc.description.statementofresponsibilityby Sebastian James Neumayer.en_US
dc.format.extent57 p.en_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/1721.1/7582
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleEfficiency loss in a class of two-sided market mechanismsen_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.oclc163581717en_US


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