A hybrid pre-joined service network in graph database and memory for service composition. (21st May 2021)
- Record Type:
- Journal Article
- Title:
- A hybrid pre-joined service network in graph database and memory for service composition. (21st May 2021)
- Main Title:
- A hybrid pre-joined service network in graph database and memory for service composition
- Authors:
- Li, Jing
Zhang, Ming
Zhu, Ming
Cui, Lizhen
Yan, Yuhong
Song, Bowen - Abstract:
- To make full use of the large space and persistency provided by a database and the fast processing speed of main memory, we propose a hybrid pre-joined service network method combining in-graph-database and in-memory calculations. This method firstly stores services' information and combinations in a graph database. Then, for a user's request, it retrieves candidate services from the database and constructs a service network in memory. After that, services are picked and composed to fulfil an optimal solution in memory. We assess the performance of our method by conducting experiments and comparing the approach with other database-based methods. Experiment results indicate the efficiency of this method in comparison, and it can always find solutions and lead to higher users' satisfaction.
- Is Part Of:
- International journal of web and grid services. Volume 17:Number 3(2021)
- Journal:
- International journal of web and grid services
- Issue:
- Volume 17:Number 3(2021)
- Issue Display:
- Volume 17, Issue 3 (2021)
- Year:
- 2021
- Volume:
- 17
- Issue:
- 3
- Issue Sort Value:
- 2021-0017-0003-0000
- Page Start:
- 179
- Page End:
- 200
- Publication Date:
- 2021-05-21
- Subjects:
- service composition -- quality of service -- QoS -- graph database
Web services -- Periodicals
Computational grids (Computer systems) -- Periodicals
006.78 - Journal URLs:
- http://www.inderscience.com/browse/index.php ↗
http://www.inderscience.com/ ↗ - Languages:
- English
- ISSNs:
- 1741-1106
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 15987.xml