~/talk

Can Microservices Drive a Renaissance in Workload-Aware Storage Management?

on YouTube 06m
Talkat 12th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage '20) · 2020-07-13..07-14· [microservices]

speakers

name:Pranav Bhandari
links:none on file
name:Avani Wildani
links:none on file
name:Dimitris Skourtis
links:none on file
name:Vasily Tarasov
links:none on file
name:Deepavali Bhagwat
links:none on file
name:Lukas Rupprecht
links:none on file
name:Ali Anwar
links:none on file

resources

video:https://youtu.be/Lv0EXqIPAus
slides:none on file

summary

Paper evaluates microservices using docker and kubernetes with a per-volume io cache and shows a concrete auto-tuning prototype: a collector and recommender pipeline that gathers per-persistent-volume traces and writes recommendations into extended artifacts in the repo. Experimental comparison uses arc and lru on two workloads (virtual machines and a production customer database) and finds isolated per-persistent-volume cache beats a shared cache by a large margin, and that unequal cache split ratios can further improve hit rate.

AI-written summary · about

chapters (7)

  1. 0:00Start
  2. 1:45Research
  3. 2:05Motivation
  4. 3:01Workload Stability
  5. 3:51Shared vs Isolated Cache
  6. 4:28Cache Size Allocation
  7. 4:55Initial Design

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