Scholarly record
IMPROVING THE PERFORMANCE OF SOCIAL ASSISTED SEARCH IN LIBRARY INFORMATION SYSTEMS
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.
Publication Impact Profile
- Citations
- CrossRef - Citation Indexes: 1
- Captures
- Mendeley - Readers: 2
Publication details
ReferencesPending
Structured references will appear here after the reference import pass. The count is preserved now so the scholarly record is not incomplete.
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.
