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Udaiprakash Gupta

dblp:04/6020 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1979
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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.

Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Storage systems · 100%
Theoretical computer science
1 paper
Combinatorics and discrete mathematics · 100%

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

TopicWeightPapersLastEvidence papers
Information retrieval › indexing
inverted file
0.011979
Bounds on Storage for Consecutive Retrieval · J. ACM 1979
Storage systems › file systems
file organization
0.011979
Bounds on Storage for Consecutive Retrieval · J. ACM 1979
Combinatorics and discrete mathematics
combinatorial bounds
0.011979
Bounds on Storage for Consecutive Retrieval · J. ACM 1979

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

combinatorial lower bounds · 0.0
YearPublicationVenuePosition
1979 Bounds on Storage for Consecutive Retrieval
abstract
A file with m permissible queries (that are known a pnon) can be partitioned into 2 '~ -1 disjoint bins, each consisting of exactly those records that are pertinent to one specific set of queries, and not pertinent to the remaining queries A generalized venson of the consecutive retrieval organization (CRO) called f-graph CRO (one m which redundancy of records and explicit pointers are permitted) is examined Ehnch and Lipski have presented an acychcf-graph CRO which requires approximately 4~m2m-l bin occurrences We show that any fgraph CRO requires at least ½m2 m-~ bin occurrences With some additional restrictions on the structure of the acychc organization, we can tighten the lower bound to {m2 m-t Since Ehnch and Lipski's organization conforms to this restricted structure, this, m a sense, proves the optimality of their result We also exhibit an f-graph CRO which requires only ~m2 m-I bin occurrences, and show that with a broad class off-graph CRO's, it Is not possible to do any better This is the shortest f-graph CRO that we know of KEY WORDS AND PHRASES combinatorial problems, consecutive retrieval, file organization, f-graph consecutive retrieval organization, reformation retrieval, inverted files, redundant storage, storage space bounds CR CATEGORIES 3 70, 3.73, 3 7'1, 5 30
Udaiprakash Gupta
J. ACM1