Processing high data rate streams in System S
نویسندگان
چکیده
High-performance streamprocessing is critical inmany sense-and-respond application domains—fromenvironmental 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 programmingmodel, the workload splitting mechanisms, the code generation framework, and the underlying SystemSmiddleware and Spadeprogrammingmodel. We demonstrate considerable scalability behavior coupled with low processing latency in a real-world financial trading application. © 2010 Elsevier Inc. All rights reserved.
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عنوان ژورنال:
- J. Parallel Distrib. Comput.
دوره 71 شماره
صفحات -
تاریخ انتشار 2011