Vlad Acretoaie

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This paper presents a technique for semantic Web service composition inspired by the behavior of ants. The proposed technique combines a service composition graph model with the ant colony optimization met heuristic to select the optimal composition solution. In our approach, we have considered as selection criteria the QoS attributes of the services and(More)
Model transformation is a key enabling technology of Model-Driven Engineering (MDE). Existing model transformation languages are shaped by and for MDE practitioners—a user group with needs and capabilities which are not necessarily characteristic of modelers in general. Consequently, these languages are largely ill-equipped for adoption by end-user modelers(More)
Hypersonic is a Cloud-based tool that proposes a new approach to the deployment of model analysis facilities. It is implemented as a RESTful Web service API offering analysis features such as model clone detection. This approach allows the migration of resource intensive analysis algorithms from monolithic desktop modeling tools to a wide range of mobile(More)
Current model transformation languages are supported by dedicated editors, often closely coupled to a single execution engine. We introduce Transparent Model Transformation, a paradigm enabling modelers to specify transformations using a familiar tool: their model editor. We also present VMTL, the first transformation language implementing the principles of(More)
In this paper we are interested in the timing analysis of mixed-criticality embedded real-time applications mapped on distributed heterogeneous architectures. Mixed-criticality tasks can be integrated onto the same architecture only if there is enough spatial and temporal separation among them. We consider that the separation is provided by partitioning,(More)
The behavior of biological swarms offers us many clues regarding the design of efficient optimization methods applicable in various domains of computer science. Inspired by the behavior of ants, we propose in this paper two methods for semantic Web service discovery and composition. For efficiently discovering the services that will be involved in the(More)