Improving the responsiveness of internet services with automatic cache placement

  • Authors:
  • Alexander Rasmussen;Emre Kiciman;Benjamin Livshits;Madanlal Musuvathi

  • Affiliations:
  • University of California San Diego, San Diego, CA, USA;Microsoft Research, Redmond, WA, USA;Microsoft Research, Redmond, WA, USA;Microsoft Research, Redmond, WA, USA

  • Venue:
  • Proceedings of the 4th ACM European conference on Computer systems
  • Year:
  • 2009

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Abstract

The backends of today's Internet services rely heavily on caching at various layers both to provide faster service to common requests and to reduce load on back-end components. Cache placement is especially challenging given the diversity of workloads handled by widely deployed Internet services. This paper presents TOOL, an analysis technique that automatically optimizes cache placement. Our experiments have shown that near-optimal cache placements vary significantly based on input distribution.