BGP-inspired autonomic service routing for the cloud
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Service selection for happy users: making user-intuitive quality abstractions
Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering
A framework for trusted services
ICSOC'12 Proceedings of the 10th international conference on Service-Oriented Computing
Evidence-based trust metrics in web services
CASCON '13 Proceedings of the 2013 Conference of the Center for Advanced Studies on Collaborative Research
Future Generation Computer Systems
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Selecting the optimal service from a set of functionally equivalent services is non-trivial. Previous research has addressed this issue making use of Quality of Service (QoS) attributes of the candidate services. In doing this, researchers have however assumed that the customers' preference of the various QoS attributes varies linearly with the actual attribute values. In this work, we put forward a technique that overcomes this restriction and compares functionally equivalent services on the basis of the customers' perception of the QoS attributes rather than the actual attribute values. We utilize the `mid-level splitting' method to track the customer's preference vis-a-vis the actual attribute values. Further, we utilize the `Hypothetical Equivalents and In equivalents Method' to assign weights, reflecting the importance, to the attributes on the basis of the customer preference. The whole procedure is demonstrated using a simple running example.