Title :
QoS Assessment over Multiple Attributes
Author :
Al-Dossari, Hmood ; Shao, Jianhua ; Preece, Alun
Author_Institution :
Sch. of Comput. Sci. & Inf., Cardiff Univ., Cardiff, UK
fDate :
June 29 2010-July 1 2010
Abstract :
In an open service oriented computing environment, multiple providers may offer functionally identical services but with varying qualities. It is desirable therefore that we are able to assess the quality of a service (QoS), so that service consumers can be given additional guidance in selecting their preferred services. Various methods have been proposed to assess QoS using the data collected from monitoring tools, but they do not deal with multiple QoS attributes adequately. Typically these methods assume that the quality of a service may be assessed by first assessing the quality level delivered by each QoS attribute individually, and then aggregating them in some way to give an overall verdict for the service. In this paper, we show that this may lead to incorrect assessment, and suggest how existing methods may be improved to deal with multiple attributes more effectively.
Keywords :
business data processing; data handling; quality of service; QoS multiple attributes assessment; open service oriented computing environment; quality of a service; service consumers; Accuracy; Aggregates; Aging; Databases; Logic gates; Monitoring; Quality of service;
Conference_Titel :
Computer and Information Technology (CIT), 2010 IEEE 10th International Conference on
Conference_Location :
Bradford
Print_ISBN :
978-1-4244-7547-6
DOI :
10.1109/CIT.2010.260