Issues in data stream management
ACM SIGMOD Record
Travel time estimation using NiagaraST and latte
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
SPADE: the system s declarative stream processing engine
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Out-of-order processing: a new architecture for high-performance stream systems
Proceedings of the VLDB Endowment
IBM infosphere streams for scalable, real-time, intelligent transportation services
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Geospatial stream query processing using Microsoft SQL Server StreamInsight
Proceedings of the VLDB Endowment
A continuous query system for dynamic route planning
ICDE '11 Proceedings of the 2011 IEEE 27th International Conference on Data Engineering
UpStream: storage-centric load management for streaming applications with update semantics
The VLDB Journal — The International Journal on Very Large Data Bases
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Traffic-aware real-time route planning has recently been an application of increasing interest for metropolitan cities with busy traffic. This paper approaches the problem from a stream processing point of view and proposes a general architecture to solve it. This work is inspired by a real use case and is implemented on an industry-strength stream processing engine. Experimental results on this implementation demonstrate the scalability of this approach in terms of increasing data and query rates.