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Massachusetts Institute of Technology

Physical redundancy for defect tolerance : example designs and fundamental limits

Abstract

dc:description.abstract

This project analyzes designs for physical redundancy which are modeled abstractly as a bipartite graph. The goal is to determine the characteristics of graph structures which optimize the trade-off between the number of edges and the number of redundant components or nodes needed while correcting a deterministic number of worst-case errors. This thesis looks at finite-sized designs, asymptotically large designs with finite error correcting values, and designs with asymptotically large error correcting values. Results include some small optimal graph structures and fundamental limits on what the optimal design structure can achieve for the cases where a small number of errors are corrected and for where the number of errors to be correctly grows asymptotically.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Tang, Jennifer (Jennifer Susan)
Advisor dc:contributor.advisor
  • Yury Polyanskiy.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.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.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/101588
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/101588

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Tang, Jennifer (Jennifer Susan). Physical redundancy for defect tolerance : example designs and fundamental limits. Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/101588