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IMPROVING THE PERFORMANCE OF SOCIAL ASSISTED SEARCH IN LIBRARY INFORMATION SYSTEMS

P. S. Petrov, G. P. Dimitrov, S. S. Parusheva, N. S. Nikolov, S. D. Petrova

First published: 2017https://doi.org/10.5593/sgemsocial2017/41/S17.039View metrics

Abstract

This study focuses on the performance improving of social assisted search by using the Redis system as a cache layer between an application and a MySQL system which stores data extracted from the behavior of many users. Since searches made by one particular user can be viewed as a Markov chain, there is need for a lot of data to be read and displayed to the user, and simultaneously small piece of the user behavior data should be written in the database in order to serve in the future searches made by other users. As it is well known, the speed of execution of the "insert"/"update" commands compared to the "select" command are slow, because indexes used in the databases need to be refreshed. Series of benchmark tests have been executed with aim to determine in which cases there will be advantage of using such caching layer approach for saving system resources and increasing the performance. The term "relative performance" has been defined and this indicator is used to determine relative performance between popular SQL ? NoSQL systems such as MySQL and Redis.

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Publication details

Title
IMPROVING THE PERFORMANCE OF SOCIAL ASSISTED SEARCH IN LIBRARY INFORMATION SYSTEMS
Authors
P. S. Petrov, G. P. Dimitrov, S. S. Parusheva, N. S. Nikolov, S. D. Petrova
Proceedings
4th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM 2017
Publisher
STEF92 Technology
Year
2017
Pages
311-318
SWS Citekey
Petrov201717311318
ISSN
2367-5659
ISBN
978-619-7408-23-2
Language
en
Publication type
Proceedings Paper
Keywords
Social Assisted SearchRecommendationMySQLRedisCache Performance
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