{"title":"HarvOS:瞬态供电嵌入式传感的高效代码检测","authors":"Naveed Anwar Bhatti, L. Mottola","doi":"10.1145/3055031.3055082","DOIUrl":null,"url":null,"abstract":"We present code instrumentation strategies to allow transiently-powered embedded sensing devices efficiently checkpoint the system’s state before energy is exhausted. Our solution, called HarvOS, operates at compile-time with limited developer intervention based on the control-flow graph of a program, while adapting to varying levels of remaining energy and possible program executions at run-time. In addition, the underlying design rationale allows the system to spare the energy-intensive probing of the energy buffer whenever possible. Compared to existing approaches, our evaluation indicates that HarvOS allows transiently-powered devices to complete a given workload with 68% fewer checkpoints, on average. Moreover, our performance in the number of required checkpoints rests only 19% far from that of an “oracle” that represents an ideal solution, yet unfeasible in practice, that knows exactly the last point in time when to checkpoint.","PeriodicalId":228318,"journal":{"name":"2017 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"111","resultStr":"{\"title\":\"HarvOS: Efficient Code Instrumentation for Transiently-Powered Embedded Sensing\",\"authors\":\"Naveed Anwar Bhatti, L. Mottola\",\"doi\":\"10.1145/3055031.3055082\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present code instrumentation strategies to allow transiently-powered embedded sensing devices efficiently checkpoint the system’s state before energy is exhausted. Our solution, called HarvOS, operates at compile-time with limited developer intervention based on the control-flow graph of a program, while adapting to varying levels of remaining energy and possible program executions at run-time. In addition, the underlying design rationale allows the system to spare the energy-intensive probing of the energy buffer whenever possible. Compared to existing approaches, our evaluation indicates that HarvOS allows transiently-powered devices to complete a given workload with 68% fewer checkpoints, on average. Moreover, our performance in the number of required checkpoints rests only 19% far from that of an “oracle” that represents an ideal solution, yet unfeasible in practice, that knows exactly the last point in time when to checkpoint.\",\"PeriodicalId\":228318,\"journal\":{\"name\":\"2017 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"111\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3055031.3055082\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3055031.3055082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
HarvOS: Efficient Code Instrumentation for Transiently-Powered Embedded Sensing
We present code instrumentation strategies to allow transiently-powered embedded sensing devices efficiently checkpoint the system’s state before energy is exhausted. Our solution, called HarvOS, operates at compile-time with limited developer intervention based on the control-flow graph of a program, while adapting to varying levels of remaining energy and possible program executions at run-time. In addition, the underlying design rationale allows the system to spare the energy-intensive probing of the energy buffer whenever possible. Compared to existing approaches, our evaluation indicates that HarvOS allows transiently-powered devices to complete a given workload with 68% fewer checkpoints, on average. Moreover, our performance in the number of required checkpoints rests only 19% far from that of an “oracle” that represents an ideal solution, yet unfeasible in practice, that knows exactly the last point in time when to checkpoint.