{"title":"Linux内核高执行频率路径的日志记录方法","authors":"K. K. Jha","doi":"10.1109/IC3.2015.7346728","DOIUrl":null,"url":null,"abstract":"Understanding Operating System behavior is very critical for any embedded designer to make informed design decision. We present a new logging method which can capture the high granular details of the kernel activity. It reduces the logging latency by 95-97% & logging memory usage by 70% compared to conventional “printk”. We utilize the string literal pool of the Linux kernel to reconstruct the log offline, and store only the parameter values passed to a printk function, instead of current method putting the log as string after printk formatting.","PeriodicalId":217950,"journal":{"name":"2015 Eighth International Conference on Contemporary Computing (IC3)","volume":"41 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Logging method for high execution frequency paths of Linux kernel\",\"authors\":\"K. K. Jha\",\"doi\":\"10.1109/IC3.2015.7346728\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Understanding Operating System behavior is very critical for any embedded designer to make informed design decision. We present a new logging method which can capture the high granular details of the kernel activity. It reduces the logging latency by 95-97% & logging memory usage by 70% compared to conventional “printk”. We utilize the string literal pool of the Linux kernel to reconstruct the log offline, and store only the parameter values passed to a printk function, instead of current method putting the log as string after printk formatting.\",\"PeriodicalId\":217950,\"journal\":{\"name\":\"2015 Eighth International Conference on Contemporary Computing (IC3)\",\"volume\":\"41 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Eighth International Conference on Contemporary Computing (IC3)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IC3.2015.7346728\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Eighth International Conference on Contemporary Computing (IC3)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC3.2015.7346728","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Logging method for high execution frequency paths of Linux kernel
Understanding Operating System behavior is very critical for any embedded designer to make informed design decision. We present a new logging method which can capture the high granular details of the kernel activity. It reduces the logging latency by 95-97% & logging memory usage by 70% compared to conventional “printk”. We utilize the string literal pool of the Linux kernel to reconstruct the log offline, and store only the parameter values passed to a printk function, instead of current method putting the log as string after printk formatting.