Random sampling with a reservoir
ACM Transactions on Mathematical Software (TOMS)
Principles of database and knowledge-base systems, Vol. I
Principles of database and knowledge-base systems, Vol. I
Introduction to parallel computing: design and analysis of algorithms
Introduction to parallel computing: design and analysis of algorithms
Querying very large multi-dimensional datasets in ADR
SC '99 Proceedings of the 1999 ACM/IEEE conference on Supercomputing
Design and evaluation of a wide-area event notification service
ACM Transactions on Computer Systems (TOCS)
StreamIt: A Language for Streaming Applications
CC '02 Proceedings of the 11th International Conference on Compiler Construction
Design, implementation, and evaluation of the linear road bnchmark on the stream processing core
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Load shedding in stream databases: a control-based approach
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Expressing and exploiting concurrency in networked applications with aspen
Proceedings of the 12th ACM SIGPLAN symposium on Principles and practice of parallel programming
SPC: a distributed, scalable platform for data mining
Proceedings of the 4th international workshop on Data mining standards, services and platforms
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Pig latin: a not-so-foreign language for data processing
Proceedings of the 2008 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
Streamsight: a visualization tool for large-scale streaming applications
Proceedings of the 4th ACM symposium on Software visualization
SODA: An Optimizing Scheduler for Large-Scale Stream-Based Distributed Computer Systems
Middleware '08 Proceedings of the ACM/IFIP/USENIX 9th International Middleware Conference
A code generation approach to optimizing high-performance distributed data stream processing
Proceedings of the 18th ACM conference on Information and knowledge management
Triggers and Monitoring in Intelligent Personal Health Record
Journal of Medical Systems
TimeStream: reliable stream computation in the cloud
Proceedings of the 8th ACM European Conference on Computer Systems
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High-performance stream processing is critical in many sense-and-respond application domains-from environmental monitoring to algorithmic trading. In this paper, we focus on language and runtime support for improving the performance of sense-and-respond applications in processing data from high-rate live streams. The central tenets of this work are the programming model, the workload splitting mechanisms, the code generation framework, and the underlying System S middleware and Spade programming model. We demonstrate considerable scalability behavior coupled with low processing latency in a real-world financial trading application.