Handling asynchronous data in assessing QoS over multiple attributes

Al-Dossari, Hmood, Shao, Jianhua ORCID: https://orcid.org/0000-0001-8461-1471 and Preece, Alun David ORCID: https://orcid.org/0000-0003-0349-9057 2010. Handling asynchronous data in assessing QoS over multiple attributes. Presented at: IEEE International Conference on Service-Oriented Computing and Applications, Perth, Australia, 13-15 December 2010. IEEE International Conference on Service-Oriented Computing and Applications (SOCA) 2010 Perth, WA, 13-15 Dec. 2010. Piscataway, NJ: IEEE, 10.1109/SOCA.2010.5707145

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Abstract

The ability to assess the quality of a service (QoS) is important to the emerging SOC paradigm. When multiple providers offer functionally identical services in a SOC environment, it is only natural that consumers should ask how their qualities would compare. While various methods have been proposed to help assess QoS using monitored quality data, they do not handle multiple QoS attributes adequately, especially when the qualities of these attributes are monitored asynchronously. In this paper, we proposed a method that takes both accuracy and confidence into account when assessing QoS over multiple attributes, and employs a kNN based technique to deal with asynchronous data. Our experiments show that the new method can give a more accurate QoS assessment over multiple attributes than existing methods do.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords:	Asynchronous QoS Data , Multiple Attributes , QoS Assessment
Publisher:	IEEE
ISBN:	9781424498024
Last Modified:	18 Oct 2022 13:30
URI:	https://orca.cardiff.ac.uk/id/eprint/14162

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