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Processing high data rate streams in System S
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DOI：10.1016/j.jpdc.2010.08.007.png)
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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. (C) 2010 Elsevier Inc. All rights reserved.
Keyword:
Data stream processing
Scale-up strategies
Workload balancing
Split/aggregate/join architectural pattern
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