{"title":"基于风暴的应用模型优化研究","authors":"Lin Zhao, Weifeng Shi","doi":"10.1109/ICSESS.2014.6933555","DOIUrl":null,"url":null,"abstract":"Storm is a distributed realtime computing framework of open source by Twitter, it is becoming a leader since of many advantages in realtime computing. This paper presents optimization program for the storm taking up too much resource in the practical application environment, by using of Cgroups mechanism to limit CPU, memory, IO and other resources of worker process, the new mechanism can balance storm's resources usage and stable of system program well.","PeriodicalId":6473,"journal":{"name":"2014 IEEE 5th International Conference on Software Engineering and Service Science","volume":"88 1","pages":"248-250"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on optimization of application model based on storm\",\"authors\":\"Lin Zhao, Weifeng Shi\",\"doi\":\"10.1109/ICSESS.2014.6933555\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Storm is a distributed realtime computing framework of open source by Twitter, it is becoming a leader since of many advantages in realtime computing. This paper presents optimization program for the storm taking up too much resource in the practical application environment, by using of Cgroups mechanism to limit CPU, memory, IO and other resources of worker process, the new mechanism can balance storm's resources usage and stable of system program well.\",\"PeriodicalId\":6473,\"journal\":{\"name\":\"2014 IEEE 5th International Conference on Software Engineering and Service Science\",\"volume\":\"88 1\",\"pages\":\"248-250\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 5th International Conference on Software Engineering and Service Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSESS.2014.6933555\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 5th International Conference on Software Engineering and Service Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSESS.2014.6933555","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on optimization of application model based on storm
Storm is a distributed realtime computing framework of open source by Twitter, it is becoming a leader since of many advantages in realtime computing. This paper presents optimization program for the storm taking up too much resource in the practical application environment, by using of Cgroups mechanism to limit CPU, memory, IO and other resources of worker process, the new mechanism can balance storm's resources usage and stable of system program well.