Font Size: a A A

Post-processing Scheduling Research And Implementation For CAE Simulation On The Cloud Platform

Posted on:2017-09-29Degree:MasterType:Thesis
Country:ChinaCandidate:J B PanFull Text:PDF
GTID:2428330488976103Subject:Software engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of industry and information technology in recent years,CAE analysis technology has ushered in new challenges and opportunities.However,In the CAE analysis work,a large part is used for CAE post-processing to analyze the calculation results of CAE models.Usually when post-processing the calculation results of CAE models need to download results to the local file system,then open the results through the specific CAE software for post-processing analysis,it is very time-consuming.In addition,CAE models of increasingly complex,resulting in the outcome file it generates greater,then the results file post-processing required for computation is greater,the traditional stand-alone computer due to limited resources can not meet the needs of CAE models.Therefore,it is very necessary to search the general CAE post-processing solutions using cloud computing technology for the post-processing of the results files CAE models calculated,then to carry out the online visualization of the post-processing results.In this paper.Firstly,the background of CAE post-processing technology,the current situation at home and abroad conducted in-depth research,and outlines the main related technologies used in this article.Secondly,the energy consumption in the post process scheduling of CAE is studied deeply.Through the historical data of CAE model calculation result after post-processing to construct post-processing execution time prediction model,to achieve the prediction of the time required for the result file execution post-processing.Then use to predicted post-processing execution time,we propose a effective parallel scheduling energy optimization algorithm based on busy time,use the idea of reducing total busy time of the server busy,achieve energy optimization scheduling,which can enhance the user experience,meantime,saving energy consumption as a platform.Then on the basis of CAE simulation on the cloud platform,choose maturity level two of the cloud computing SaaS model as post-processing services model for CAE simulation on the cloud platform,designing the function structure and overall architecture of post-processing scheduling system for CAE simulation on the cloud platform to meet the huge CAE model calculation results file and multi-user concurrent processing demand.At the same time,based on the architecture,the post process flow is designed.Finally,realized the prototype system of post-processing scheduling for CAE simulation on the cloud platform,the display of results from the CAE model calculation,post-processing execution time prediction,post-processing energy optimization scheduling and post-processing results show prove the value of the system.The implementation of CAE simulation on the cloud platform post-processing scheduling,can achieve win-win platform and users in a certain extent.The platform can reduce the cost of procurement post-processing software with the help of general post-processing solutions.Besides,it can reduce the energy consumption of the server under the premise of post-processing to meet user needs.For users,it can be more convenient to verify the results of the CAE model calculation results are in line with expectations,to adjust or modify the CAE model,to enhance the user's work efficiency.Therefore,this research has a great application prospect.
Keywords/Search Tags:CAE post-processing, cloud computing, prediction model, energy optimization scheduling, online visualization
PDF Full Text Request
Related items