USE OF MEAN DISTANCE BETWEEN OVERFLOW RECORDS TO COMPUTE AVERAGE SEARCH LENGTHS IN HAS FILES WITH OPEN ADDRESSING

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dc.contributor.authorBradley, Jameseng
dc.date.accessioned2008-02-27T22:57:32Z
dc.date.available2008-02-27T22:57:32Z
dc.date.computerscience1999-05-27eng
dc.date.issued1984-05-01eng
dc.description.abstractAverage search lengths are calculated using both the well known Poisson distribution for the number of addresses assigned a number of records, and an empirical expression for the mean distance between overflow records with the same home address. The method involves computing the number of disk accesses required to randomly retrieve y records overflowing from a given home address, using a knowledge of the mean distance between overflow records. The Poisson distribution is then used to obtain the total accesses required to retrieve all records in the file, from which the average search length may be deduced. The average search length values obtained agree well with the experimental results of Peterson, and the method can be recommended for use in practical design situations. Values of mean distance between overflow records for different loading factors and address capacities are also predicted.eng
dc.description.notesWe are currently acquiring citations for the work deposited into this collection. We recognize the distribution rights of this item may have been assigned to another entity, other than the author(s) of the work.If you can provide the citation for this work or you think you own the distribution rights to this work please contact the Institutional Repository Administrator at digitize@ucalgary.caeng
dc.identifier.department1984-154-12eng
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/30467
dc.identifier.urihttp://hdl.handle.net/1880/46273
dc.language.isoEngeng
dc.publisher.corporateUniversity of Calgaryeng
dc.publisher.facultyScienceeng
dc.subjectComputer Scienceeng
dc.titleUSE OF MEAN DISTANCE BETWEEN OVERFLOW RECORDS TO COMPUTE AVERAGE SEARCH LENGTHS IN HAS FILES WITH OPEN ADDRESSINGeng
dc.typeunknown
thesis.degree.disciplineComputer Scienceeng
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