Design of Mixed-Criticality Applications on Distributed Real-Time Systems
Poster Mar 24, 2014
Domit?ian Ta?mas?-Selicean and Paul Pop
We consider that the protection is achieved through a temporal- and space-partitioning scheme similar to Integrated Modular Avionics (IMA).
At the processing-level, we have proposed an optimization strategy to solve the following design problems: the mapping of tasks to PEs, the scheduling of tasks, the allocation of tasks to partitions, the task decomposition and the elevation of tasks, such that all applications are schedulable and the development costs are minimized. We have also extended the optimization strategy to take into account soft real-time applications and modified the cost function to capture the quality of service for these tasks.
At the network communication-level, we have proposed an optimization strategy to solve the following design problems: the scheduling of time-triggered frames, the fragmenting and packing of messages into frames, the routing of frames and the bandwidth of the rate-contraint (RC) frames, such that all messages are schedulable, and the worst-case end-to-end delay of the RC frames are minimized. We have also extended the strategy to take into best-effort traffic, and we have shown how using our strategy we can perform topology optimization to reduce the cost of the system
GALAS Modeling Methodology Applications In The Prediction Of Drug Metabolism Related PropertiesPoster
Analytical identification of metabolites for a drug candidate is usually a time consuming and low-throughput task and is performed only at the later phases of drug development. Therefore the possibility to predict possible sites of human liver microsomal (HLM) metabolism using in silico techniques would be a very attractive feature for any medicinal chemist.READ MORE
Automating Mass Spectrometry-Based Quantitative Glycomics using Tandem Mass Tag (TMT) Reagents with SimGlycanPoster
One of the emerging trends in glycomics research is the innovation related to accurate MS based quantitative analysis of glycans.READ MORE
RAMclust/RAMsearch: efficient post-XCMS feature clustering and annotation of MS-based metabolomics datasetsPoster
Chromatographically coupled mass spectrometry is a powerful tool for profiling, semi-quantitatively or quantitatively, a breadth of small molecules with sensitivity and selectivity.READ MORE
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