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Jun Okui

dblp:10/3388 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1991
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Coding theory · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Storage systems · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Storage systems › data placement
disk allocation
0.011991
Performance analysis of disk allocation method using error-correcting codes · IEEE Trans. Inf. Theory 1991
Coding theory › error-correcting codes › block codes
linear code
0.011991
Performance analysis of disk allocation method using error-correcting codes · IEEE Trans. Inf. Theory 1991
Coding theory › error-correcting codes
weight distribution
0.011991
Performance analysis of disk allocation method using error-correcting codes · IEEE Trans. Inf. Theory 1991

Methods — techniques the papers use, named apart from their topics

weight distribution analysis · 0.0linear error-correcting codes · 0.0
YearPublicationVenuePosition
1991 Performance analysis of disk allocation method using error-correcting codes
abstract
The problem of distributing a Cartesian product file on multiple disks to maximize the parallelism for partial match queries is addressed. C. Faloutsos et al. (1989) have proposed an allocation method for Cartesian product files on multiple disks by using linear error-correcting codes. The performance of the allocation method is analyzed. Some conditions under which the allocation method is strictly optimal for queries with a given number of unspecified attributes are presented. A necessary and sufficient condition for a linear code to give a strictly optimal allocation method is discussed. Formulas for the average response time on queries with w unspecified attributes, denoted T/sub w/, in terms of the weight distribution of the code or its dual code, and formulas for the average response time Ton all queries, are given. Several examples whose average response times T/sub w/ or T are close to theoretical lower bounds are presented.>
Toru Fujiwara, Minoru Ito, Tadao Kasami, Mitsuteru Kataoka, Jun Okui
IEEE Trans. Inf. Theory5