{"title":"Cloud-Based Simulation of a Smart Power Grid","authors":"Ashkan Paya, D. Marinescu","doi":"10.1109/IPDPSW.2014.100","DOIUrl":null,"url":null,"abstract":"Is it feasible to automatically generate a cloud environment for applications based on a dynamic computational model when the actual work flow changes in time? We discuss the answer to this question in the context of a complex application, the simulation of a smart grid. We argue that the IaaS cloud delivery model offers enough flexibility and that the Amazon Web Services have evolved to the point when automatic generation of a computing environment is not only feasible, but also leads to an efficient computing infrastructure. In this paper we develop a a model of a smart power grid and then investigate the means to reduce the time needed for the automatic generation of the simulation environment and to reduce the overall cost of the simulation.","PeriodicalId":153864,"journal":{"name":"2014 IEEE International Parallel & Distributed Processing Symposium Workshops","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Parallel & Distributed Processing Symposium Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPDPSW.2014.100","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Is it feasible to automatically generate a cloud environment for applications based on a dynamic computational model when the actual work flow changes in time? We discuss the answer to this question in the context of a complex application, the simulation of a smart grid. We argue that the IaaS cloud delivery model offers enough flexibility and that the Amazon Web Services have evolved to the point when automatic generation of a computing environment is not only feasible, but also leads to an efficient computing infrastructure. In this paper we develop a a model of a smart power grid and then investigate the means to reduce the time needed for the automatic generation of the simulation environment and to reduce the overall cost of the simulation.
当实际工作流程随时间变化时,基于动态计算模型自动生成应用的云环境是否可行?我们将在一个复杂应用的背景下讨论这个问题的答案,即智能电网的模拟。我们认为,IaaS云交付模型提供了足够的灵活性,而且Amazon Web Services已经发展到自动生成计算环境不仅可行,而且还能带来高效的计算基础设施的程度。本文首先建立了智能电网的模型,然后探讨了如何减少仿真环境自动生成所需的时间和降低仿真总成本的方法。