华东师范大学学报（自然科学版）Issue(3)：67-76,10.DOI:10.3969/j.issn.1000-5641.2018.03.008
面向食品溯源数据服务的多QoS约束服务选择优化算法研究
Algorithm for service optimization under multi-QoS constraints for data services in a food traceability system
摘要
Abstract
The concept of data services plays an important role in the era of big data.In this paper,an optimization algorithm for web services in food safety traceability is investigated based on the SOA (Service-Oriented Architecture) framework.Traceability services are commonly data-intensive systems,which need to combine multi-source web services.In this paper,by extracting important QoS (Quality of Service) indexes from the web and data services of the system,a multi-QoS based benefit ratio (MQBR) is established,which is then used on the traceability platform for food security management.Based on the MQBR model,the skyline and heuristic method of artificial intelligence is proposed for optimizing the efficiency and quality of service selection.Experiments are conducted to prove the validity of the algorithm.The methods of our study are designed and applied to a food security management application,with multiple QoS constraints in the traceability systems,to improve the overall performance and service quality.关键词
食品安全溯源/Skyline算法/多QoS约束/面向数据服务的服务组合/启发式算法Key words
food safety traceability system/skyline algorithm/multi-QoS constraints/data service composition/heuristic-based algorithm分类
信息技术与安全科学引用本文复制引用
袁培森,黎薇,任守纲,徐焕良..面向食品溯源数据服务的多QoS约束服务选择优化算法研究[J].华东师范大学学报（自然科学版）,2018,(3):67-76,10.基金项目
国家自然科学基金(61502236) （61502236）
中央高校基本科研业务费专项资金(KYZ201752,KJQN201651) （KYZ201752,KJQN201651）
国家科技支撑计划(2015BA1105000) （2015BA1105000）
江苏省重点研发计划(BE2016803) （BE2016803）
