{"title":"情境感知中间件系统的可依赖性和问责制","authors":"A. Rice, A. Beresford","doi":"10.1109/PERCOMW.2006.36","DOIUrl":null,"url":null,"abstract":"In this paper we present a framework to provide dependability through accountability. Our proposal exploits the asymmetry present in the majority of sensor data processing to cheaply validate events and processing which occurs at various points in a distributed middleware system. We exemplify our framework with reference to two real-world distributed location middlewares. We adapt one of these to evaluate our framework and present performance results","PeriodicalId":250624,"journal":{"name":"Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Dependability and accountability for context-aware middleware systems\",\"authors\":\"A. Rice, A. Beresford\",\"doi\":\"10.1109/PERCOMW.2006.36\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we present a framework to provide dependability through accountability. Our proposal exploits the asymmetry present in the majority of sensor data processing to cheaply validate events and processing which occurs at various points in a distributed middleware system. We exemplify our framework with reference to two real-world distributed location middlewares. We adapt one of these to evaluate our framework and present performance results\",\"PeriodicalId\":250624,\"journal\":{\"name\":\"Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-03-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PERCOMW.2006.36\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PERCOMW.2006.36","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dependability and accountability for context-aware middleware systems
In this paper we present a framework to provide dependability through accountability. Our proposal exploits the asymmetry present in the majority of sensor data processing to cheaply validate events and processing which occurs at various points in a distributed middleware system. We exemplify our framework with reference to two real-world distributed location middlewares. We adapt one of these to evaluate our framework and present performance results