Ribbons

Author:

Hoffman Kevin J.1,Metzger Harrison1,Eugster Patrick1

Affiliation:

1. Purdue University, West Lafayette, IN, USA

Abstract

The need for programs to execute subcomponents in isolation from each other or with lower privileges is prevalent among today's systems. We introduce ribbons: a shared memory programming model that allows for more implicit sharing of memory than processes but is more restrictive than threads. Ribbons structure the heap into protection domains. Privileges between these protection domains are carefully controlled in order to confine computation. We propose RibbonJ, a backwards-compatible extension of Java, to easily create or port programs to use the ribbons model. We study the progress and isolation properties of a subset of the language. Building on JikesRVM we implement ribbons by leveraging existing memory protection mechanisms in modern hardware and operating systems, avoiding the overhead of inline security checks and read or write barriers. We evaluate efficiency via microbenchmarks and the DaCapo suite, observing minor overhead. Additionally, we refactor Apache Tomcat to use ribbons for application isolation, discuss the refactoring's design and complexity, and evaluate performance using the SPECweb2009 benchmark.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Software

Cited by 4 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. Domains: Sharing state in the communicating event-loop actor model;Computer Languages, Systems & Structures;2016-04

2. Domains: Safe sharing among actors;Science of Computer Programming;2015-02

3. HATI: Hardware Assisted Thread Isolation for Concurrent C/C++ Programs;2014 IEEE International Parallel & Distributed Processing Symposium Workshops;2014-05

4. Identifying a Unifying Mechanism for the Implementation of Concurrency Abstractions on Multi-language Virtual Machines;Objects, Models, Components, Patterns;2012

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