Proposed system in complex hybrid edge and cloud environments, not burdened by complexities related to Their application workflows to instantiate, deploy and run their applications using the automation capabilities of the AI-powering algorithms will assist domain application experts to create application workflows usingįunctionalities provided by the cloud application developers, with semi-automated workflow construction techniquesīy leveraging semantic descriptions. Cloud application developers will develop application and backend functions, semantically annotate andĭescribe them. To remove obstacles for non-cloud expert users to useĬomplex function-based workflow applications, ICONTROL will support a separation of tasks among 3 categories of Performance issues through automated redeployment. Will help users to automate function selection, configuration and deployment, dealing with run-time failure or ICONTROL will use semantic information on available cloud-based application functionalities toĪutomatically generate complex workflows of functions, which will be executed across edge and cloud resources. ICONTROL will automatically construct and deploy complex workflow-based cloud applications in an end-to-end Redeployment in hybrid edge cloud computing environments. ICONTROL is a platform for dynamic and intelligent function-based workflow application deployment and run-time Inteligentné riadenie tokov práce v cloude pre dynamické a metrikami optimalizované nasadzovanie aplikácií Intelligent Cloud Workflow Management for Dynamic Metric- Optimized Application Deployment (ICONTROL) Process mandated by this standard by a new one relying on readily available information and the latest computing The new methodology will help replace the tedious & demanding Required cleaning frequency, was withdrawn. These goals reflect current priorities of European research as well as pressing needs of Slovak power industry: inĢ015, the standard regulating the assessment of high-voltage insulator pollution deposition and their Here we rely on theĮxperience of the project partner VUJE with measurement systems installed on overhead lines and able to work Of their acoustic emissions captured by contactless detectors placed in their vicinity. The third project goal is to research & develop a new method for measuring the insulator pollution by the analysis Therefore, the second project goal is to developĪ method for obtaining a sufficiently large set of synthetic data for their training and testing. Neural networks, however, require large training sets. Techniques of artificial intelligence and neural networks can find new relationships between the input and the To describe the processes of pollution dispersion, deposition and chemical interaction adequately by standard Artificial intelligence is the logical choice, because so far we have not been able, due to their complexity, Obtained by this method will help to optimize the design of insulators and improve the quality of maintenance during It will help to prevent outages on 110 kV and 400 kV overhead lines caused by flashovers. Techniques of artificial intelligence, cloud computing and data integration and was not yet applied in Slovak power The main goal of project ARIEN is to develop & verify a new innovative method for the estimation of local pollutionĭeposition for power industry needs based on the data collected by the SHMU Institute. Analysis of environmental influences on power industry equipment by the methods of artificial intelligence and cloud computing (ARIEN)Īnalýza vplyvu prostredia na zariadenia energetického priemyslu metódami umelej inteligencie a cloudového počítania
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