Data integration: a theoretical perspective
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Optimizing Queries Across Diverse Data Sources
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
The design of an acquisitional query processor for sensor networks
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
The Cougar Project: a work-in-progress report
ACM SIGMOD Record
MauveDB: supporting model-based user views in database systems
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
The CQL continuous query language: semantic foundations and query execution
The VLDB Journal — The International Journal on Very Large Data Bases
Querying the internet with PIER
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
An integration framework for sensor networks and data stream management systems
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Fault-tolerance in the borealis distributed stream processing system
ACM Transactions on Database Systems (TODS)
A demonstration of Cascadia through a digital diary application
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
A substrate for in-network sensor data integration
Proceedings of the 5th workshop on Data management for sensor networks
SmartCIS: integrating digital and physical environments
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Maintaining Recursive Views of Regions and Connectivity in Networks
IEEE Transactions on Knowledge and Data Engineering
Dynamic join optimization in multi-hop wireless sensor networks
Proceedings of the VLDB Endowment
Resilient sensor network query processing using logical overlays
MobiDE '12 Proceedings of the Eleventh ACM International Workshop on Data Engineering for Wireless and Mobile Access
Adapting to node failure in sensor network query processing
BNCOD'13 Proceedings of the 29th British National conference on Big Data
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With the increasing adoption of networked sensors, a new class of applications is emerging that combines data from the "digital world" with real-time sensor readings, in order to intelligently manage physical environments and systems (e.g., "smart" buildings, power grids, data centers). This leads to new challenges in providing programmability, performance, extensibility, and multi-purpose heterogeneous data acquisition. The ASPEN project addresses these challenges by extending data integrationtechniques to the distributed stream world, and adding new abstractions for physical phenomena. We describe the architecture and implementation of our ASPEN system and its showcase intelligent building application, SmartCIS, which was demonstrated at SIGMOD 2009. We summarize the new query processing algorithms we have developed for integrating highly distributed stream data sources, both in low-power sensor devices and traditional PCs and servers; describe query optimization techniques for federations of stream processors; and detail new capabilities such as incremental maintenance of recursive views. Our algorithms and techniques generalize across a wide range of data from RFID and light measurements to real-time machine usage monitoring, energy consumption and recursive query computation.