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Model-based cross-layer monitoring and adaptation of multilayer systems

Science China(Information Sciences) 2013年第8期56卷 6-20页

作者： SOnG Hui RAJ Amit HAJEBI Saeed clarke Aidan clarke siobhn Lero:The Irish Software Engineering Research Centre School of Computer Science and Statistics Trinity College Dublin Dublin 2 Ireland IBM Software Ireland Laboratory

With the vision of "Internet as a computer", complex software-intensive systems running on the Internet, or the "Internetwares", can be also divided into multiple layers. Each layer has a different focus, implementation technique, and stakeholders. Monitoring and adaptation of such multilayer systems are challenging, because the mismatches and adaptations are interrelated across the layers. This interrelation makes it difficult to find out: 1) When a system change causes mismatches in one layer, how to identify all the cascaded mismatches on the other layers? 2) When an adaptation is performed at one layer, how to find out all the complementary adaptations required in other layers? This paper presents a model-based approach towards cross-layer monitoring and adaptation of multilayer systems. We provide standard meta-modelling languages for system experts to specify the concepts and constraints separately for each layer, as well as the relations among the concepts from different layers. Within each individual layer, we use run-time models to represent the system state specific to this layer, monitor the systems by evaluating model changes according to specified constraints, and support manual or semi-automated adaption by modifying the models. When a change happens in the run-time model for one layer, either caused by system changes or by the adaptation, we synchronize the models for other layers to identify cascaded mismatches and complementary adaptations across the layers. We illustrate the approach on a simulated crisis management system, and are using it on a number of ongoing projects.

关键词： multilayer systems monitoring dynamic adaptation model driven engineering bidirectional model transformation

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Energy efficient route prediction for solar powered vehicles

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Green Energy and Intelligent Transportation 2023年第1期2卷 26-38页

作者： Julie Gallagher siobhán clarke Trinity College DublinIreland

Solar powered vehicles are currently being developed towards entirely self-sustaining vehicles that harness their energy directly from the *** such vehicles,it is important to optimise their solar exposure while driving,thereby reducing their energy consumption through fossil *** has emerged to estimate optimised routes for solar vehicles,and this paper builds on this work to expand on the parameters used to calculate the route,thereby improving the energy-harnessing quality of the route together with its overall utility for the *** ArcGIS tool and the open weather API are used to predict the solar potential of a vehicle by taking into account shade based on surrounding topography,vehicle type,weather,distance and time of *** model was implemented as a user mobile application‘Drive Solar’that calculates the optimal route for the user based on their preferences for time and energy *** effectiveness of the prediction model was tested using a solar irradiance sensor in Dublin *** results show that the model predicts the route with the most energy absorbed with a 51.65%accuracy and chooses the route with the most energy consumed with a 86.65%*** conclude that Drive Solar can aid in the transition to widespread use of self-sustaining solar vehicles.

关键词： Solar vehicle Solar potential GIS Mobile application Prediction model

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