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Idle time garbage collection scheduling

Published: 02 June 2016 Publication History

Abstract

Efficient garbage collection is increasingly important in today's managed language runtime systems that demand low latency, low memory consumption, and high throughput. Garbage collection may pause the application for many milliseconds to identify live memory, free unused memory, and compact fragmented regions of memory, even when employing concurrent garbage collection. In animation-based applications that require 60 frames per second, these pause times may be observable, degrading user experience. This paper introduces idle time garbage collection scheduling to increase the responsiveness of applications by hiding expensive garbage collection operations inside of small, otherwise unused idle portions of the application's execution, resulting in smoother animations. Additionally we take advantage of idleness to reduce memory consumption while allowing higher memory use when high throughput is required. We implemented idle time garbage collection scheduling in V8, an open-source, production JavaScript virtual machine running within Chrome. We present performance results on various benchmarks running popular webpages and show that idle time garbage collection scheduling can significantly improve latency and memory consumption. Furthermore, we introduce a new metric called frame time discrepancy to quantify the quality of the user experience and precisely measure the improvements that idle time garbage collection provides for a WebGL-based game benchmark. Idle time garbage collection is shipped and enabled by default in Chrome.

Supplementary Material

Auxiliary Archive (p570-degenbaev-s.zip)
The PLDI'16 artifact evaluation committee declared the experiments presented in the paper as reproducible. The artifact explains in detail how to run the experiments.

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cover image ACM Conferences
PLDI '16: Proceedings of the 37th ACM SIGPLAN Conference on Programming Language Design and Implementation
June 2016
726 pages
ISBN:9781450342612
DOI:10.1145/2908080
  • General Chair:
  • Chandra Krintz,
  • Program Chair:
  • Emery Berger
  • cover image ACM SIGPLAN Notices
    ACM SIGPLAN Notices  Volume 51, Issue 6
    PLDI '16
    June 2016
    726 pages
    ISSN:0362-1340
    EISSN:1558-1160
    DOI:10.1145/2980983
    • Editor:
    • Andy Gill
    Issue’s Table of Contents
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike International 4.0 License.

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Published: 02 June 2016

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Author Tags

  1. Browser Technology
  2. Garbage Collection
  3. JavaScript
  4. Memory Management
  5. Scheduling
  6. Virtual Machines
  7. Web Applications

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