Abstract
Service deployment often needs to guarantee QoS of service compositions for networks which compose services to complete users’ application requests. Because evaluation methods for QoS of service compositions rely on fixed-process-based formal models which are not suitable for dynamic service composition processes in service deployment, current service deployment methods can only guarantee QoS of single service and are insufficient to guarantee QoS of service compositions. In this article, a service deployment method considering application reliability is proposed. First, application reliability is introduced to measure QoS of service compositions and an evaluation method based on application flow is presented. Then a service deployment optimization model with the goal of application reliability is established. To solve this model efficiently, an improved genetic algorithm by a new method generating initial population is adopted. Finally, 5G network case study verifies that the improved genetic algorithm converges quickly and our proposed method significantly outperforms the existing method in terms of application reliability by comparison.
Highlights
A Service Deployment Method Considering Application Reliability of NetworksXIANGYU ZHENG1, (Member, IEEE), NING HUANG 2, (Member, IEEE), SHIGANG YIN3, GUOYI WEN4, AND XIN ZHANG5
Nowadays, as NaaS (Network as a service) is widely accepted, many networks, such as transportation networks, 5G networks, IoT networks, cyber physical systems (CPS), financial networks etc. are developing toward application-driven direction [1]
QoS of service compositions which directly determine whether networks can satisfy users’ application demands becomes the key indicator in design
Summary
XIANGYU ZHENG1, (Member, IEEE), NING HUANG 2, (Member, IEEE), SHIGANG YIN3, GUOYI WEN4, AND XIN ZHANG5.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
