Reliability of Run-Time Quality-of-Service evaluation using parametric model checking

Author(s):  
Guoxin Su ◽  
David S. Rosenblum ◽  
Giordano Tamburrelli
Author(s):  
Farnaz Farid ◽  
Seyed Shahrestani ◽  
Chun Ruan

The quality of service (QoS) evaluation of heterogeneous networks is an interesting area of research. The traditional QoS evaluation methods usually use a set of network-centric parameters for the performance evaluation of these networks. As a result, using such methods it is not possible to report a comprehensive performance review of networks that would include diverse applications and technologies. To resolve this issue, in this research, a novel approach has been proposed that applies dynamic significance weights and unified metrics of the QoS-related parameters to various applications and technologies present within a heterogeneous network. The result analysis shows that by applying this methodical approach, the performance evaluation of heterogeneous networks can be carried out systematically and efficiently.


Author(s):  
Roman Gumzej ◽  
Brigita Gajšek

This article is focused on a sub domain of quality, namely, quality of service. Considering supply chain management, the authors believe that it is important to distinguish between a quality of product (also service) offered by producers and service providers and a quality of service which is achieved between any supplier and customer, not only a consumer, along a supply chain. Quality of product represents producer’s/service provider’s commitment and is subject of various quality certificates issued by inspection authorities. This research examines the quality of service, which is provided by a supplier to its customer along the supply chain, between any pair of chain elements fulfilling this relation, including the common retailer-consumer relation. The authors introduce measurement points into a consumer-centric supply chain model for the defined criteria and defined the method of their monitoring and overall supply chain quality of service evaluation. Finally, the authors assess the envisaged impact of the results of their measurements on supply chain excellence, providing management with an opportunity to identify weak spots.


Sign in / Sign up

Export Citation Format

Share Document