{"title":"在Jamdroid架构中加入TelegraphCQ改进实时GPS","authors":"M. Qadeer, N. Akhtar, F. Khan, Etienne Baratte","doi":"10.1109/ISWPC.2009.4800587","DOIUrl":null,"url":null,"abstract":"Data Stream Management System is a new class of stream handling with SQL-like queries & robustness at relatively high streams of data. TelegraphCQ is an open source DSMS tool developed towards handling live streams of data. Jamdroid, on the other hand, is a new collaborative project, developed on Android platform, that gathers road traffic reports from all its end-users, compiles the data and reports back to the navigation software of the users. It involves a data analysis algorithm running on the user device, and Internet servers that retrieve the data from the user, merge them, and send them back to the community. Such a system is meant to be accessed by a large number of users, and has to be fast-responsive enough to deal with all the requests; hence, provisions must be made for effective live stream handling. We will see how such a system can gain immensely by incorporating Data Stream Management System, using open-source TelegraphCQ, for data stream processing & querying.","PeriodicalId":383593,"journal":{"name":"2009 4th International Symposium on Wireless Pervasive Computing","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Improving Real-Time GPS by incorporating TelegraphCQ in Jamdroid Architecture\",\"authors\":\"M. Qadeer, N. Akhtar, F. Khan, Etienne Baratte\",\"doi\":\"10.1109/ISWPC.2009.4800587\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data Stream Management System is a new class of stream handling with SQL-like queries & robustness at relatively high streams of data. TelegraphCQ is an open source DSMS tool developed towards handling live streams of data. Jamdroid, on the other hand, is a new collaborative project, developed on Android platform, that gathers road traffic reports from all its end-users, compiles the data and reports back to the navigation software of the users. It involves a data analysis algorithm running on the user device, and Internet servers that retrieve the data from the user, merge them, and send them back to the community. Such a system is meant to be accessed by a large number of users, and has to be fast-responsive enough to deal with all the requests; hence, provisions must be made for effective live stream handling. We will see how such a system can gain immensely by incorporating Data Stream Management System, using open-source TelegraphCQ, for data stream processing & querying.\",\"PeriodicalId\":383593,\"journal\":{\"name\":\"2009 4th International Symposium on Wireless Pervasive Computing\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-02-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 4th International Symposium on Wireless Pervasive Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISWPC.2009.4800587\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 4th International Symposium on Wireless Pervasive Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISWPC.2009.4800587","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improving Real-Time GPS by incorporating TelegraphCQ in Jamdroid Architecture
Data Stream Management System is a new class of stream handling with SQL-like queries & robustness at relatively high streams of data. TelegraphCQ is an open source DSMS tool developed towards handling live streams of data. Jamdroid, on the other hand, is a new collaborative project, developed on Android platform, that gathers road traffic reports from all its end-users, compiles the data and reports back to the navigation software of the users. It involves a data analysis algorithm running on the user device, and Internet servers that retrieve the data from the user, merge them, and send them back to the community. Such a system is meant to be accessed by a large number of users, and has to be fast-responsive enough to deal with all the requests; hence, provisions must be made for effective live stream handling. We will see how such a system can gain immensely by incorporating Data Stream Management System, using open-source TelegraphCQ, for data stream processing & querying.