Faster, larger, easier: reining real-time big data processing in cloud

  • Authors:
  • Chengwei Wang;Infantdani Abel Rayan;Karsten Schwan

  • Affiliations:
  • Georgia Institute of Technology;Riot Games, Apache Flume;Georgia Institute of Technology

  • Venue:
  • Proceedings of the Posters and Demo Track
  • Year:
  • 2012

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Abstract

Flume [1] is a widely used open-source real-time data processing framework. We have proposed, in a Middleware'12 research track paper [2], a middleware named VScope for troubleshooting complex big data systems like Flume. This poster introduces the recent evolution from Flume Old Generation (OG) to Flume New Generation (NG) [4], and research improvements in VScope to address the system management challenges.