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dc.contributor.advisorPooch, Udo W.
dc.creatorLivings, Harold Edward
dc.description.abstractA technique is presented for designing teleprocessing networks on the basis of weighted heuristic partitions of the network nodes. The partitioning groups the nodes on the basis of common internodal design characteristics related to traffic flow, geographical location, delay and reliability requirements. The research results include a theoretical framework for performing the heuristic partition selection and for analyzing the resulting partition set to produce a complete network design. Both techniques are based on the theory of connectivity in directed graphs. The techniques are implemented in the form of a complete network design system using a set of APL functions. Weights incorporated into the partition selection functions permit adaptive adjustment of the design process based on actual experience gained in designing networks. Several complete examples are included, as is a sensitivity analysis of the partition selection functions and weights.en
dc.format.extent178 leavesen
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en
dc.subject.classification1975 Dissertation L786
dc.subject.lcshComputing Scienceen
dc.titleSelf-adaptive teleprocessing network designen
dc.typeThesisen Scienceen A&M Universityen of Philosophyen
dc.contributor.committeeMemberAnderson, R. J.
dc.format.digitalOriginreformatted digitalen
dc.publisher.digitalTexas A&M University. Libraries

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