Improving impact of self-adaptation and self-management research through evaluation methodology
Proceedings of the 2010 ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems
Towards Web Service selection based on QoS estimation
International Journal of Web and Grid Services
QSSA: A QoS-aware Service Selection Approach
International Journal of Web and Grid Services
Middleware support for internetware: a service perspective
Proceedings of the Second Asia-Pacific Symposium on Internetware
Taming uncertainty in self-adaptive software
Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering
A survey of formal methods in self-adaptive systems
Proceedings of the Fifth International C* Conference on Computer Science and Software Engineering
Towards an accurate evaluation of quality of cloud service in service-oriented cloud computing
Journal of Intelligent Manufacturing
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Computation and networking resources in mobile operating environments are much scarcer and more dynamic than in desktop operating environments. Mobile applications can leverage on the benefits of adaptive computing to optimize the QoS delivery based on contextual situations. Fuzzy control models have been successfully applied to various distributed network QoS management systems. However, existing models are either application-specific or limited to abstract modeling and simple conceptual scenarios which do not take into account overall model scalability. Specifically, the large number of QoS parameters in a mobile operating environment causes an exponential increase in the number of rules correspondingly increases the demand for processing power to infer the rules. Hierarchical fuzzy systems were introduced to reduce the number of rules using hierarchical fuzzy control, in which correlated linguistic variables are hierarchically inferred and grouped into abstract linguistic variables. In this paper, we propose a mobile QoS management framework that uses a hierarchical fuzzy control model to support a highly extensible and structured adaptation paradigm. The proposed framework integrates several levels of QoS abstractions derived from user-perceived requirements.