Rama Akkiraju, Pinar Keskinocak, et al.
Applied Intelligence
High-performance stream processing is critical in many sense-and-respond application domainsfrom 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. © 2010 Elsevier Inc. All rights reserved.
Rama Akkiraju, Pinar Keskinocak, et al.
Applied Intelligence
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Computational And Structural Biotechnology Journal
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