Using passive object garbage collection algorithms for garbage collection of active objects

Author:

Vardhan Abhay1,Agha Gul1

Affiliation:

1. University of Illinois, Urbana, Illinois

Abstract

With the increasing use of active object systems, agents and concurrent object oriented languages like Java, the problem of garbage collection (GC) of unused resources has become more complex. Since active objects are autonomous computational agents, unlike passive object systems the criterion for identifying garbage in active objects cannot be based solely on reachability from a root set. This has led to development of specialized algorithms for GC of active objects. We reduce the problem of GC of active objects to that of passive objects by providing a transformation of the active object reference graph to a passive object reference graph so that if a garbage collector for a passive object system is applied to the transformed graph, precisely those objects are collected which correspond to garbage objects in the original active object reference graph. The transformation technique enables us to reuse the algorithms already developed for passive objects systems. We provide a proof of correctness of the transformation and discuss its cost. An advantage of the transformation is that it can prove valuable for mixed systems of active and passive objects by providing a common approach to GC.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Software

Reference37 articles.

1. The Actor Foundry. http://www-osl.cs.uiuc.edu/foundry The Actor Foundry. http://www-osl.cs.uiuc.edu/foundry

2. Actors

3. Agent Naming and Coordination: Actor Based Models and Infrastructures

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Concurrent garbage collection in the actor model;Proceedings of the 8th ACM SIGPLAN International Workshop on Programming Based on Actors, Agents, and Decentralized Control;2018-11-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3