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Proceedings of the sixteenth ACM symposium on Operating systems principles
NiagaraCQ: a scalable continuous query system for Internet databases
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
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Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
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The VLDB Journal — The International Journal on Very Large Data Bases
Market-based cluster resource management
Market-based cluster resource management
Aurora: a new model and architecture for data stream management
The VLDB Journal — The International Journal on Very Large Data Bases
Highly available, fault-tolerant, parallel dataflows
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Contract-based load management in federated distributed systems
NSDI'04 Proceedings of the 1st conference on Symposium on Networked Systems Design and Implementation - Volume 1
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Foundations and Trends® in Theoretical Computer Science
Estimating statistical aggregates on probabilistic data streams
Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
A business process monitor for a mobile phone recharging system
Journal of Systems Architecture: the EUROMICRO Journal
Estimating statistical aggregates on probabilistic data streams
ACM Transactions on Database Systems (TODS)
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Information Sciences: an International Journal
NexusDS: a flexible and extensible middleware for distributed stream processing
IDEAS '09 Proceedings of the 2009 International Database Engineering & Applications Symposium
Thread cooperation in multicore architectures for frequency counting over multiple data streams
Proceedings of the VLDB Endowment
Distributed event processing for activity recognition
Proceedings of the 5th ACM international conference on Distributed event-based system
Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems
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Medusa [3, 6] is a distributed stream processing system based on the Aurora single-site stream processing engine [1]. We demonstrate how Medusa handles time-varying load spikes and provides high availability in the face of network partitions. We demonstrate Medusa in the context of Borealis, a second generation stream processing engine based on Aurora and Medusa.