Multi-query Stream Processing on FPGAs

  • Authors:
  • Mohammad Sadoghi;Rija Javed;Naif Tarafdar;Harsh Singh;Rohan Palaniappan;Hans-Arno Jacobsen

  • Affiliations:
  • -;-;-;-;-;-

  • Venue:
  • ICDE '12 Proceedings of the 2012 IEEE 28th International Conference on Data Engineering
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

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.