A Model-Driven Approach to Dynamic and Adaptive Service Brokering Using Modes
ICSOC '08 Proceedings of the 6th International Conference on Service-Oriented Computing
Architecture and behaviour analysis for engineering Service Modes
PESOS '09 Proceedings of the 2009 ICSE Workshop on Principles of Engineering Service Oriented Systems
Exploiting non-functional preferences in architectural adaptation for self-managed systems
Proceedings of the 2010 ACM Symposium on Applied Computing
Adaptive fuzzy-valued service selection
Proceedings of the 2010 ACM Symposium on Applied Computing
VOLARE: context-aware adaptive cloud service discovery for mobile systems
Proceedings of the 9th International Workshop on Adaptive and Reflective Middleware
Service research challenges and solutions for the future internet
UML extensions for service-oriented systems
Rigorous software engineering for service-oriented systems
The SENSORIA reference modelling language
Rigorous software engineering for service-oriented systems
CC-Pi: a constraint language for service negotiation and composition
Rigorous software engineering for service-oriented systems
Specification and analysis of dynamically-reconfigurable service architectures
Rigorous software engineering for service-oriented systems
Runtime support for dynamic and adaptive service composition
Rigorous software engineering for service-oriented systems
SENSORIA results applied to the case studies
Rigorous software engineering for service-oriented systems
Rigorous software engineering for service-oriented systems
Multi-agent selection of multiple composite web services based on CBR method and driven by QoS
Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services
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A major advantage offered by Web services technologies is the ability to dynamically discover and invoke services. This ability is particularly important for operations of many applications executing in open dynamic environments. The QoS properties of the required and provided services play a significant role in dynamic discovery and invocation of services in open dynamic environments. In this paper, we discuss our approach to QoS specification and service provider selection, in the context of our work on the Dino project. The service provider selection algorithm used in Dino takes into account the relative benefit offered by a provider with respect to the requester-specified QoS criteria, and the trustworthiness of the provider. We explain our approach using an example from the automotive domain.