Kaihui Mu, Bo Wang, Chu Qiu, Pengdong Gao, Quan Qi, Yongquan Lu
{"title":"Performace Analysis and Optimization for Short-time Rendering Frames","authors":"Kaihui Mu, Bo Wang, Chu Qiu, Pengdong Gao, Quan Qi, Yongquan Lu","doi":"10.1109/ICCST50977.2020.00031","DOIUrl":null,"url":null,"abstract":"The rendering cloud platform provides rendering cloud service for animated films, special effects, animated series, effect drawing, creative design and other rendering work. In this paper, a deep research is made into the efficiency and time consumption of short-time rendering frames in a rendering cloud platform with a management scheduling node. An optimized dynamic requesting-interval system is exposed to enhance the performance of this rendering platform to achieve the maximum utilization of rendering nodes when rendering short-time frames. An evaluation experiment between the non-optimized system and the optimized one is done, which shows that the optimized system can achieve a good performance compared to the old system.","PeriodicalId":189809,"journal":{"name":"2020 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"367 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Culture-oriented Science & Technology (ICCST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCST50977.2020.00031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The rendering cloud platform provides rendering cloud service for animated films, special effects, animated series, effect drawing, creative design and other rendering work. In this paper, a deep research is made into the efficiency and time consumption of short-time rendering frames in a rendering cloud platform with a management scheduling node. An optimized dynamic requesting-interval system is exposed to enhance the performance of this rendering platform to achieve the maximum utilization of rendering nodes when rendering short-time frames. An evaluation experiment between the non-optimized system and the optimized one is done, which shows that the optimized system can achieve a good performance compared to the old system.