Personalized quality prediction for dynamic service management based on invocation patterns
Zhang, Li, Zhang, Bin, Pahl, ClausORCID: 0000-0002-9049-212X, Xu, Lei and Zhu, Zhiliang
(2013)
Personalized quality prediction for dynamic service management based on invocation patterns.
In: Eleventh International Conference on Service Oriented Computing ICSOC 2013, 2-5 Dec 2013, Berlin, Germany.
Recent service management needs, e.g., in the cloud, require ser-vices to be managed dynamically. Services might need to be selected or re-placed at runtime. For services with similar functionality, one approach is to identify the most suitable services for a user based on an evaluation of the quality (QoS) of these services. In environments like the cloud, further person-alisation is also paramount. We propose a personalized QoS prediction method, which considers the impact of the network, server environment and user input. It analyses previous user behaviour and extracts invocation patterns from moni-tored QoS data through pattern mining to predict QoS based on invocation QoS patterns and user invocation features. Experimental results show that the pro-posed method can significantly improve the accuracy of the QoS prediction.
Metadata
Item Type:
Conference or Workshop Item (Paper)
Event Type:
Conference
Refereed:
Yes
Uncontrolled Keywords:
Service Quality; Web and Cloud Services; QoS Prediction; Invoca-tion Pattern Mining; Collaborative Filtering; Personalized Recommendation