Improving real-time GPS by incorporating telegraphCQ in Jamdroid architecture

Authors:
Mohammed A. Qadeer;Nadeem Akhtar;Faraz Khan;Etienne Baratte
Affiliations:
Department of Computer Engineering, Aligarh Muslim University, Aligarh, India;Department of Computer Engineering, Aligarh Muslim University, Aligarh, India;Department of Computer Engineering, Aligarh Muslim University, Aligarh, India;Jamdroid, Paris, France
Venue:
ISWPC'09 Proceedings of the 4th international conference on Wireless pervasive computing
Year:
2009

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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.