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10.5593/sgemsocial2017/41/S17.039

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
Monday 30 October 2017 by Libadmin2017

References: 4th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM 2017, www.sgemsocial.org, SGEM2017 Conference Proceedings, ISBN 978-619-7408-23-2 / ISSN 2367-5659, 24 - 30 August, 2017, Book 4, Vol 1, 311-318 pp, DOI: 10.5593/sgemsocial2017/41/S17.039

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 и NoSQL systems such as MySQL and Redis.

Keywords: Social Assisted Search, Recommendation, MySQL, Redis, Cache Performance

PAPER DOI: 10.5593/sgemsocial2017/41/S17.039 ; IMPROVING THE PERFORMANCE OF SOCIAL ASSISTED SEARCH IN LIBRARY INFORMATION SYSTEMS

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