{"title":"用于移动环境可视化和推理的云服务框架","authors":"H. La, M. Kim, Soo Dong Kim","doi":"10.1109/MobServ.2012.13","DOIUrl":null,"url":null,"abstract":"With the advent of various context sensors on mobile devices, context-aware mobile computing becomes feasible and an essential technology for providing smart services. Consequently, there is an increasing demand for frameworks which provide efficient sensor monitoring and reasoning with sensed contexts. However, there remain a number of research issues; continuously monitoring contexts with less resource, developing a functionality of displaying contexts efficiently and intuitively, and designing the most appropriate reasoning mechanism. We present the design and implementation of a commercial-level framework for monitoring and reasoning contexts, not only for individuals but also for groups of individuals. We present design of the framework including architectural tactics applied, key algorithms, and cloud interface design. And, we also present a PoC implementation and show how it is used in developing Disaster Alerting System which is a context-aware application.","PeriodicalId":443858,"journal":{"name":"2012 IEEE First International Conference on Mobile Services","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Cloud Service Framework for Visualizing and Reasoning with Mobile Contexts\",\"authors\":\"H. La, M. Kim, Soo Dong Kim\",\"doi\":\"10.1109/MobServ.2012.13\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the advent of various context sensors on mobile devices, context-aware mobile computing becomes feasible and an essential technology for providing smart services. Consequently, there is an increasing demand for frameworks which provide efficient sensor monitoring and reasoning with sensed contexts. However, there remain a number of research issues; continuously monitoring contexts with less resource, developing a functionality of displaying contexts efficiently and intuitively, and designing the most appropriate reasoning mechanism. We present the design and implementation of a commercial-level framework for monitoring and reasoning contexts, not only for individuals but also for groups of individuals. We present design of the framework including architectural tactics applied, key algorithms, and cloud interface design. And, we also present a PoC implementation and show how it is used in developing Disaster Alerting System which is a context-aware application.\",\"PeriodicalId\":443858,\"journal\":{\"name\":\"2012 IEEE First International Conference on Mobile Services\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE First International Conference on Mobile Services\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MobServ.2012.13\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE First International Conference on Mobile Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MobServ.2012.13","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Cloud Service Framework for Visualizing and Reasoning with Mobile Contexts
With the advent of various context sensors on mobile devices, context-aware mobile computing becomes feasible and an essential technology for providing smart services. Consequently, there is an increasing demand for frameworks which provide efficient sensor monitoring and reasoning with sensed contexts. However, there remain a number of research issues; continuously monitoring contexts with less resource, developing a functionality of displaying contexts efficiently and intuitively, and designing the most appropriate reasoning mechanism. We present the design and implementation of a commercial-level framework for monitoring and reasoning contexts, not only for individuals but also for groups of individuals. We present design of the framework including architectural tactics applied, key algorithms, and cloud interface design. And, we also present a PoC implementation and show how it is used in developing Disaster Alerting System which is a context-aware application.