Hardware-assisted middleware: Acceleration of garbage collection operations

Jie Tang, Shaoshan Liu, Zhimin Gu, Xiao-Feng Li, J. Gaudiot
{"title":"Hardware-assisted middleware: Acceleration of garbage collection operations","authors":"Jie Tang, Shaoshan Liu, Zhimin Gu, Xiao-Feng Li, J. Gaudiot","doi":"10.1109/ASAP.2010.5541011","DOIUrl":null,"url":null,"abstract":"Although the virtualization technology brings many benefits to cloud computing environments, as the virtual machines provide more features, the middleware layer has become bloated, introducing a high overhead. Our ultimate goal is to provide hardware-assisted solutions to improve the middleware performance in cloud computing environments. As a starting point, in this paper, we design, implement, and evaluate specialized hardware instructions to accelerate GC operations. We select GC because it is a common component in virtual machine designs and it incurs high performance and energy consumption overheads. We performed a profiling study on various GC algorithms to identify the GC performance hotspots, which contribute to more than 50% of the total GC execution time. By moving these hotspot functions into hardware, we managed to achieve an order of magnitude speedup.","PeriodicalId":175846,"journal":{"name":"ASAP 2010 - 21st IEEE International Conference on Application-specific Systems, Architectures and Processors","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ASAP 2010 - 21st IEEE International Conference on Application-specific Systems, Architectures and Processors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASAP.2010.5541011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16

Abstract

Although the virtualization technology brings many benefits to cloud computing environments, as the virtual machines provide more features, the middleware layer has become bloated, introducing a high overhead. Our ultimate goal is to provide hardware-assisted solutions to improve the middleware performance in cloud computing environments. As a starting point, in this paper, we design, implement, and evaluate specialized hardware instructions to accelerate GC operations. We select GC because it is a common component in virtual machine designs and it incurs high performance and energy consumption overheads. We performed a profiling study on various GC algorithms to identify the GC performance hotspots, which contribute to more than 50% of the total GC execution time. By moving these hotspot functions into hardware, we managed to achieve an order of magnitude speedup.
硬件辅助中间件:加速垃圾收集操作
尽管虚拟化技术为云计算环境带来了许多好处,但是随着虚拟机提供更多的特性,中间件层变得臃肿,带来了很高的开销。我们的最终目标是提供硬件辅助解决方案,以提高云计算环境中的中间件性能。首先,在本文中,我们设计、实现和评估专门的硬件指令来加速GC操作。我们选择GC是因为它是虚拟机设计中的一个常见组件,它会带来高性能和能耗开销。我们对各种GC算法进行了分析研究,以确定GC性能热点,这些热点占总GC执行时间的50%以上。通过将这些热点功能转移到硬件中,我们设法实现了一个数量级的加速。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信