research-article

ACDC-JS: explorative benchmarking of javascript memory management

Authors:

Thomas Hütter,

Christoph M. Kirsch,

Alexander Miller,

Mario PreishuberAuthors Info & Claims

DLS '14: Proceedings of the 10th ACM Symposium on Dynamic languages

Pages 67 - 78

https://doi.org/10.1145/2661088.2661089

Published: 14 October 2014 Publication History

Abstract

We present ACDC-JS, an open-source JavaScript memory management benchmarking tool. ACDC-JS incorporates a heap model based on real web applications and may be configured to expose virtually any relevant performance characteristics of JavaScript memory management systems. ACDC-JS is based on ACDC, a benchmarking tool for C/C++ that models periodic allocation and deallocation behavior (AC) as well as persistent memory (DC). We identify important characteristics of JavaScript mutator behavior and propose a configurable heap model based on typical distributions of these characteristics as foundation for ACDC-JS. We describe heap analyses of 13 real web applications extending existing work on JavaScript behavior analysis. Our experimental results show that ACDC-JS enables performance benchmarking and debugging of state-of-the-art JavaScript virtual machines such as V8 and SpiderMonkey by exposing key aspects of their memory management performance.

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Cited By

Kirisame MShenoy PPanchekha P(2022)Optimal heap limits for reducing browser memory useProceedings of the ACM on Programming Languages10.1145/35633236:OOPSLA2(986-1006)Online publication date: 31-Oct-2022
https://dl.acm.org/doi/10.1145/3563323
Degenbaev UEisinger JErnst MMcIlroy RPayer H(2016)Idle time garbage collection schedulingACM SIGPLAN Notices10.1145/2980983.290810651:6(570-583)Online publication date: 2-Jun-2016
https://dl.acm.org/doi/10.1145/2980983.2908106
Degenbaev UEisinger JErnst MMcIlroy RPayer HKrintz CBerger E(2016)Idle time garbage collection schedulingProceedings of the 37th ACM SIGPLAN Conference on Programming Language Design and Implementation10.1145/2908080.2908106(570-583)Online publication date: 2-Jun-2016
https://dl.acm.org/doi/10.1145/2908080.2908106
Show More Cited By

Index Terms

ACDC-JS: explorative benchmarking of javascript memory management
1. Software and its engineering
  1. Software organization and properties
    1. Contextual software domains
      1. Operating systems
        Memory management
        Garbage collection

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ACDC-JS: explorative benchmarking of javascript memory management
DLS '14

We present ACDC-JS, an open-source JavaScript memory management benchmarking tool. ACDC-JS incorporates a heap model based on real web applications and may be configured to expose virtually any relevant performance characteristics of JavaScript memory ...
Practical Ext JS 4
Pro Ext JS 4

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Published In

cover image ACM Conferences

DLS '14: Proceedings of the 10th ACM Symposium on Dynamic languages

October 2014

160 pages

ISBN:9781450332118

DOI:10.1145/2661088

General Chair:
Andrew Black
Portland State University, USA
,
Program Chair:
Laurence Tratt
King's College London, UK

ACM SIGPLAN Notices Volume 50, Issue 2
DLS '14
February 2015
146 pages
ISSN:0362-1340
EISSN:1558-1160
DOI:10.1145/2775052
Editor:
Andy Gill
University of Kansas, Lawrence, KS
Issue’s Table of Contents

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGPLAN: ACM Special Interest Group on Programming Languages

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Association for Computing Machinery

New York, NY, United States

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Published: 14 October 2014

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SPLASH '14

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SIGPLAN

SPLASH '14: Conference on Systems, Programming, and Applications: Software for Humanity

October 20 - 24, 2014

Oregon, Portland, USA

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DLS '14 Paper Acceptance Rate 13 of 28 submissions, 46%;

Overall Acceptance Rate 32 of 77 submissions, 42%

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Cited By

Kirisame MShenoy PPanchekha P(2022)Optimal heap limits for reducing browser memory useProceedings of the ACM on Programming Languages10.1145/35633236:OOPSLA2(986-1006)Online publication date: 31-Oct-2022
https://dl.acm.org/doi/10.1145/3563323
Degenbaev UEisinger JErnst MMcIlroy RPayer H(2016)Idle time garbage collection schedulingACM SIGPLAN Notices10.1145/2980983.290810651:6(570-583)Online publication date: 2-Jun-2016
https://dl.acm.org/doi/10.1145/2980983.2908106
Degenbaev UEisinger JErnst MMcIlroy RPayer HKrintz CBerger E(2016)Idle time garbage collection schedulingProceedings of the 37th ACM SIGPLAN Conference on Programming Language Design and Implementation10.1145/2908080.2908106(570-583)Online publication date: 2-Jun-2016
https://dl.acm.org/doi/10.1145/2908080.2908106
Rudafshani MWard P(2017)LeakSpotSoftware—Practice & Experience10.1002/spe.240647:1(97-123)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1002/spe.2406

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