@Article{jqc.2020.015402,
AUTHOR = {Dandan Peng, Le Sun},
TITLE = {A Database-Driven Algorithm for Building Top-k Service-Based Systems},
JOURNAL = {Journal of Quantum Computing},
VOLUME = {2},
YEAR = {2020},
NUMBER = {4},
PAGES = {171--179},
URL = {http://www.techscience.com/jqc/v2n4/41124},
ISSN = {2579-0145},
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.},
DOI = {10.32604/jqc.2020.015402}
}