QoS Evaluation of In-Vehicle Network with SPQ of IEEE 802.1TSN

Author(s):  
Moe Nitta ◽  
Yoshihiro Ito
2021 ◽  
Vol 1077 (1) ◽  
pp. 012021
Author(s):  
Jauzak Hussaini Windiatmaja ◽  
Johannes Calvin Tjahaja ◽  
Kgs. Al Amin ◽  
Riri Fitri Sari

2012 ◽  
Vol 9 (1) ◽  
pp. 1-13 ◽  
Author(s):  
Camila C. Françolin ◽  
Anil V. Rao ◽  
Christiane Duarte ◽  
Gerald Martel

Kybernetes ◽  
2015 ◽  
Vol 44 (1) ◽  
pp. 139-158
Author(s):  
Xiao Xue ◽  
Shufang Wang ◽  
Hao Chao

Purpose – The purpose of this paper is to provide strong theoretical and technical support for the dynamic evolution of service system in “Cluster Supply Chain”(CSC), which can deal with two kinds of context changes: the internal service component changes and the external customer requirement changes. Design/methodology/approach – A “feedback-based” evolution mechanism of service system for CSC is proposed in this study. By means of the feedback update of enterprise service’s Quality of Service (QoS) attribute and the adjustment of the assumed QoS evaluation model, the evolution of service system can be achieved to suit the dynamic market demands. Findings – Results of the study suggest: by means of the “feed-back” evolution mechanism of service system, the enterprises in CSC can handle the context changes effectively to maintain the optimized operation status. Practical implications – The implementation of evolution mechanism in service system can keep the effectiveness of enterprise service composition to face the frequent service component changes and the unpredictable market turbulence. Originality/value – This paper proposes a method to realize the autonomous evolution of service system in CSC, which can support the flexibility and adaptability of enterprise service composition in the changing environment.


2014 ◽  
Vol 989-994 ◽  
pp. 1464-1468
Author(s):  
Yang Tao ◽  
Kun Zhou

In the next generation of heterogeneous wireless network environment, to meet the network requirements of diverse services ,we propose a vertical handoff decision algorithm based on QoS evaluation that refine the handover unit to services. The proposed algorithm consider the needs of the services、 network conditions、 user preferences and other factors, and makes Analytic Hierarchy Process (AHP) and cost function combine to choose the target network that is best meet the requirements of services . Comparing with the vertical handoff decision based on RSS, simulation results show that the proposed method can take full account of the different QoS requirements of various services types to choose the appropriate network, and would not cause performance degradation.


Sign in / Sign up

Export Citation Format

Share Document