Models and issues in data stream systems
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Dynamic Querying of Streaming Data with the dQUOB System
IEEE Transactions on Parallel and Distributed Systems
Re-Integrating the Research Record
Computing in Science and Engineering
TelegraphCQ: continuous dataflow processing
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
GATES: A Grid-Based Middleware for Processing Distributed Data Streams
HPDC '04 Proceedings of the 13th IEEE International Symposium on High Performance Distributed Computing
A survey of data provenance in e-science
ACM SIGMOD Record
Service-Oriented Environments for Dynamically Interacting with Mesoscale Weather
Computing in Science and Engineering
The virtual data grid: a new model and architecture for data-intensive collaboration
SSDBM '03 Proceedings of the 15th International Conference on Scientific and Statistical Database Management
Calder Query Grid Service: Insights and Experimental Evaluation
CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
A protocol for recording provenance in service-oriented grids
OPODIS'04 Proceedings of the 8th international conference on Principles of Distributed Systems
Security issues in a SOA-Based provenance system
IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
Performance evaluation of the karma provenance framework for scientific workflows
IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
A time-and-value centric provenance model and architecture for medical event streams
Proceedings of the 1st ACM SIGMOBILE international workshop on Systems and networking support for healthcare and assisted living environments
Introducing secure provenance: problems and challenges
Proceedings of the 2007 ACM workshop on Storage security and survivability
Advances and Challenges for Scalable Provenance in Stream Processing Systems
Provenance and Annotation of Data and Processes
The case of the fake Picasso: preventing history forgery with secure provenance
FAST '09 Proccedings of the 7th conference on File and storage technologies
Preventing history forgery with secure provenance
ACM Transactions on Storage (TOS)
Research issues in data provenance for streaming environments
Proceedings of the 2nd SIGSPATIAL ACM GIS 2009 International Workshop on Security and Privacy in GIS and LBS
Towards a secure and efficient system for end-to-end provenance
TAPP'10 Proceedings of the 2nd conference on Theory and practice of provenance
Facilitating fine grained data provenance using temporal data model
Proceedings of the Seventh International Workshop on Data Management for Sensor Networks
Assuring data trustworthiness: concepts and research challenges
SDM'10 Proceedings of the 7th VLDB conference on Secure data management
The Foundations for Provenance on the Web
Foundations and Trends in Web Science
Visual debugging for stream processing applications
RV'10 Proceedings of the First international conference on Runtime verification
Provenance security guarantee from origin up to now in the e-Science environment
Journal of Systems Architecture: the EUROMICRO Journal
Demonstrating a lightweight data provenance for sensor networks
Proceedings of the 2012 ACM conference on Computer and communications security
Ariadne: managing fine-grained provenance on data streams
Proceedings of the 7th ACM international conference on Distributed event-based systems
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Data streams flowing from the physical environment are as unpredictable as the environment itself. Radars go down, long haul networks drop packets, and readings are corrupted on the wire. Yet the data driven scientific models and data mining algorithms do not necessarily account for the inaccuracies when assimilating the data. Low overhead provenance collection partially solves this problem. We propose a data model and collection model for near real time provenance collection. We define a system architecture for stream provenance tracking and motivate with a real-world application in meteorology forecasting.