Open Access
ARTICLE
A Database-Driven Algorithm for Building Top-k Service-Based Systems
Dandan Peng, Le Sun*
Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing
University of Information Science & Technology, Nanjing, 210044, China
* Corresponding Author: Le Sun. Email:
Journal of Quantum Computing 2020, 2(4), 171-179. https://doi.org/10.32604/jqc.2020.015402
Received 03 November 2020; Accepted 05 December 2020; Issue published 07 January 2021
Abstract
The purpose of this work aims is to automatically build top-k (the
number of suggested results) light weight service based systems (LitSBSs) on the
basis of user-given keywords. Compared with our previous work, we use a score
(oscore) to evaluate the keyword matching degree and QoS performance of a
service so that we could find top-k LitSBSs with both high keyword matching
degree and great QoS performance at the same time. In addition, to guarantee the
quality of found top-k LitSBSs and improve the time efficiency, we redesign the
database-driven algorithm (LitDB). We add the step of referential services
selecting into the process of the LitDB, which could prioritize services with high
quality (high keyword matching degree and great QoS performance). We design
comprehensive experiments to demonstrate the great time performance of LitDB.
Keywords
Cite This Article
D. Peng and L. Sun, "A database-driven algorithm for building top-k service-based systems,"
Journal of Quantum Computing, vol. 2, no.4, pp. 171–179, 2020.