Mining QoS benchmark of resource-service chain for collaborative tasks Online publication date: Fri, 18-May-2018
by Haibo Li; Yafeng Gao
International Journal of Internet Manufacturing and Services (IJIMS), Vol. 5, No. 2/3, 2018
Abstract: To improve the efficiency and quality of resource services selection in collaborative task systems, the temporal relationship between the resource services should be taken into account. At the same time, the changing market requires a dynamic selection benchmark. Quality of service (QoS) as the main basis for the selection of resource services, mining the business data set to develop the QoS benchmark has a good objectivity and dynamic. Taking manufacturing as a typical collaborative process, based on the resource service chain (RSC) formed by the scheduling order of resource services, an approach called the mining method for QoS benchmark of RSC (QoSB-RSC) is proposed to obtain the QoS benchmark of RSC. By comparing the QoS similarity between scheduling instances of RSC, mining the cluster centres from business data set as the QoS benchmark. The performance of the QoSB-RSC is verified by experiment and case analysis, indicating that it has positive significance to improve the efficiency and quality of resource services selection.
Online publication date: Fri, 18-May-2018
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Internet Manufacturing and Services (IJIMS):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com