Multi-query Stream Processing on FPGAs

Mohammad Sadoghi,Rija Javed,Naif Tarafdar,Harsh Singh,Rohan Palaniappan,Hans-Arno Jacobsen

Data Engineering（2012）

引用 52|浏览0

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摘要

We present an efficient multi-query event stream platform to support query processing over high-frequency event streams. Our platform is built over reconfigurable hardware -- FPGAs -- to achieve line-rate multi-query processing by exploiting unprecedented degrees of parallelism and potential for pipelining, only available through custom-built, application-specific and low-level logic design. Moreover, a multi-query event stream processing engine is at the core of a wide range of applications including real-time data analytics, algorithmic trading, targeted advertisement, and (complex) event processing.

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关键词

reconfigurable hardware,high-frequency event stream,line-rate multi-query processing,multi-query stream processing,algorithmic trading,low-level logic design,multi-query event stream processing,efficient multi-query event stream,event processing,real-time data analytics,query processing,field programmable gate array,complex event processing,semantics,bandwidth,real time data,fpga,field programmable gate arrays,algebra,parallel processing,high frequency,logic design,stream processing,hardware,pipelining

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