Ripple joins for online aggregation
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Mining high-speed data streams
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Models and issues in data stream systems
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Issues in data stream management
ACM SIGMOD Record
Gigascope: a stream database for network applications
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
TelegraphCQ: continuous dataflow processing
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Optimizing candidate check costs for bitmap indices
Proceedings of the 14th ACM international conference on Information and knowledge management
Optimizing bitmap indices with efficient compression
ACM Transactions on Database Systems (TODS)
Building a time machine for efficient recording and retrieval of high-volume network traffic
IMC '05 Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement
Enabling Real-Time Querying of Live and Historical Stream Data
SSDBM '07 Proceedings of the 19th International Conference on Scientific and Statistical Database Management
Monitoring streams: a new class of data management applications
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
On the performance of bitmap indices for high cardinality attributes
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Heuristic techniques for accelerating hierarchical routing on road networks
IEEE Transactions on Intelligent Transportation Systems
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As of now, GPS is an almost ubiquitous technology. However, it is not completely real time & it only deals with highways, freeways, sometimes main streets in large cities. Jamdroid is a real time, collaborative road traffic information system that aims to remedy these shortcomings of GPS. Jamdroid is a new collaborative project 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. We know that it might not be possible to equip every vehicle with a GPS receiver. Hence to maximize available traffic data, we explore the option of introducing RFID tag for gathering GPS data. 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.