A fast retrieval method for local or distributed data

In this paper, we propose an improvement to an approach to data retrieval which is performed in only one access to a bucket hash table or file. The idea behind it, is to let the system assign one digit to the record key so that the hashed new record key is "forced " to fall in a bucket acc...

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Detalles Bibliográficos
Autor principal: Fontao, Rafael Oscar
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2001
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/23312
Aporte de:
id I19-R120-10915-23312
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Distributed
Management
Concurrent Programming
Distributed data searching
Hashing
one access retrieval
system cooperating code assignment
key management
spellingShingle Ciencias Informáticas
Distributed
Management
Concurrent Programming
Distributed data searching
Hashing
one access retrieval
system cooperating code assignment
key management
Fontao, Rafael Oscar
A fast retrieval method for local or distributed data
topic_facet Ciencias Informáticas
Distributed
Management
Concurrent Programming
Distributed data searching
Hashing
one access retrieval
system cooperating code assignment
key management
description In this paper, we propose an improvement to an approach to data retrieval which is performed in only one access to a bucket hash table or file. The idea behind it, is to let the system assign one digit to the record key so that the hashed new record key is "forced " to fall in a bucket according to some practical criteria. From a user point of view this forced hash procedure could be thought of as a “user-system cooperating code assignment”, since the user is free to code an object to be retrieved but the system may append s a digit to that code. For one access retrieval purposes, the new code key-digit is used to find its address. However, should the digit is not known, the retrieval process will find the key in its surrounding, provided it exists. In this approach it is unnecessary a bucket overflow area of any kind, since this method allows a high load factor for practical use. In the event of the hash table is nearly full, a simple procedure could be ran to extend the table size either by keeping the original digit or assigning new ones. For distributed data sets this methodology shows an appealing performance in real life and simulation results.
format Objeto de conferencia
Objeto de conferencia
author Fontao, Rafael Oscar
author_facet Fontao, Rafael Oscar
author_sort Fontao, Rafael Oscar
title A fast retrieval method for local or distributed data
title_short A fast retrieval method for local or distributed data
title_full A fast retrieval method for local or distributed data
title_fullStr A fast retrieval method for local or distributed data
title_full_unstemmed A fast retrieval method for local or distributed data
title_sort fast retrieval method for local or distributed data
publishDate 2001
url http://sedici.unlp.edu.ar/handle/10915/23312
work_keys_str_mv AT fontaorafaeloscar afastretrievalmethodforlocalordistributeddata
AT fontaorafaeloscar fastretrievalmethodforlocalordistributeddata
bdutipo_str Repositorios
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