M. Jüttner, S. Grabmaier, Jonas Rohloff, D. Vögeli, W. Rucker, P. Göhner, M. Weyrich
{"title":"A DISTRIBUTED METHOD FOR TRANSIENT SIMULATIONS THAT DYNAMICALLY CONSIDERS SUPPLEMENTARY RESULTS FROM AUTONOMOUS SOFTWARE AGENTS","authors":"M. Jüttner, S. Grabmaier, Jonas Rohloff, D. Vögeli, W. Rucker, P. Göhner, M. Weyrich","doi":"10.5604/01.3001.0012.0701","DOIUrl":null,"url":null,"abstract":"Based on autonomous software agents capable of calculating individual numerical field problems, a distributed method for solving transient field problems is presented. The software agents are running on distributed resources connected via a network and represent a dynamic calculation environment. Communication and data exchange between multiple agents enables their collaboration and allows decisions based on distributed overall knowledge. As unique characteristics, no central unit influences the solution process at any time. The presented simulation example and its evaluated calculation process proves the method to benefit from redundant resources.\n\n","PeriodicalId":53131,"journal":{"name":"Informatyka Automatyka Pomiary w Gospodarce i Ochronie Srodowiska","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Informatyka Automatyka Pomiary w Gospodarce i Ochronie Srodowiska","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5604/01.3001.0012.0701","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 1
Abstract
Based on autonomous software agents capable of calculating individual numerical field problems, a distributed method for solving transient field problems is presented. The software agents are running on distributed resources connected via a network and represent a dynamic calculation environment. Communication and data exchange between multiple agents enables their collaboration and allows decisions based on distributed overall knowledge. As unique characteristics, no central unit influences the solution process at any time. The presented simulation example and its evaluated calculation process proves the method to benefit from redundant resources.
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