在Softirq中自适应CPU核心分配的虚拟交换机扩展

S. Muramatsu, Ryota Kawashima, S. Saito, H. Matsuo
{"title":"在Softirq中自适应CPU核心分配的虚拟交换机扩展","authors":"S. Muramatsu, Ryota Kawashima, S. Saito, H. Matsuo","doi":"10.1109/CloudCom.2014.68","DOIUrl":null,"url":null,"abstract":"An Edge-Overlay model constructing virtual networks using both virtual switches and IP tunnels is promising in cloud datacenter networks. But software-implemented virtual switches can cause performance problems because the packet processing load is concentrated on a particular CPU core. Although multi queue functions like Receive Side Scaling (RSS) can distribute the load onto multiple CPU cores, there are still problems to be solved such as IRQ core collision of heavy traffic flows as well as competitive resource use between physical and virtual for packet processing. In this paper, we propose a software packet processing unit named VSE (Virtual Switch Extension) to address these problems by adaptively determining softirq cores based on both CPU load and VM-running information. Furthermore, the behavior of VSE can be managed by Open Flow controllers. Our performance evaluation results showed that throughput of our approach was higher than an existing RSSbased model as packet processing load increased. In addition, we show that our method prevented performance of high-loaded flows from being degraded by priority-based CPU core selection.","PeriodicalId":249306,"journal":{"name":"2014 IEEE 6th International Conference on Cloud Computing Technology and Science","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"VSE: Virtual Switch Extension for Adaptive CPU Core Assignment in Softirq\",\"authors\":\"S. Muramatsu, Ryota Kawashima, S. Saito, H. Matsuo\",\"doi\":\"10.1109/CloudCom.2014.68\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An Edge-Overlay model constructing virtual networks using both virtual switches and IP tunnels is promising in cloud datacenter networks. But software-implemented virtual switches can cause performance problems because the packet processing load is concentrated on a particular CPU core. Although multi queue functions like Receive Side Scaling (RSS) can distribute the load onto multiple CPU cores, there are still problems to be solved such as IRQ core collision of heavy traffic flows as well as competitive resource use between physical and virtual for packet processing. In this paper, we propose a software packet processing unit named VSE (Virtual Switch Extension) to address these problems by adaptively determining softirq cores based on both CPU load and VM-running information. Furthermore, the behavior of VSE can be managed by Open Flow controllers. Our performance evaluation results showed that throughput of our approach was higher than an existing RSSbased model as packet processing load increased. In addition, we show that our method prevented performance of high-loaded flows from being degraded by priority-based CPU core selection.\",\"PeriodicalId\":249306,\"journal\":{\"name\":\"2014 IEEE 6th International Conference on Cloud Computing Technology and Science\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 6th International Conference on Cloud Computing Technology and Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CloudCom.2014.68\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 6th International Conference on Cloud Computing Technology and Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CloudCom.2014.68","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

利用虚拟交换机和IP隧道构建虚拟网络的边缘覆盖模型在云数据中心网络中具有广阔的应用前景。但是,软件实现的虚拟交换机可能会导致性能问题,因为数据包处理负载集中在特定的CPU核心上。虽然像接收端缩放(Receive Side Scaling, RSS)这样的多队列功能可以将负载分配到多个CPU内核上,但是仍然存在一些问题需要解决,比如大流量的IRQ内核碰撞,以及物理和虚拟之间在数据包处理方面的资源竞争。在本文中,我们提出了一个名为VSE (Virtual Switch Extension)的软件包处理单元,通过基于CPU负载和虚拟机运行信息自适应地确定软件内核来解决这些问题。此外,VSE的行为可以通过开放流量控制器进行管理。我们的性能评估结果表明,随着数据包处理负载的增加,我们的方法的吞吐量高于现有的基于rss的模型。此外,我们还表明,我们的方法可以防止基于优先级的CPU内核选择降低高负载流的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
VSE: Virtual Switch Extension for Adaptive CPU Core Assignment in Softirq
An Edge-Overlay model constructing virtual networks using both virtual switches and IP tunnels is promising in cloud datacenter networks. But software-implemented virtual switches can cause performance problems because the packet processing load is concentrated on a particular CPU core. Although multi queue functions like Receive Side Scaling (RSS) can distribute the load onto multiple CPU cores, there are still problems to be solved such as IRQ core collision of heavy traffic flows as well as competitive resource use between physical and virtual for packet processing. In this paper, we propose a software packet processing unit named VSE (Virtual Switch Extension) to address these problems by adaptively determining softirq cores based on both CPU load and VM-running information. Furthermore, the behavior of VSE can be managed by Open Flow controllers. Our performance evaluation results showed that throughput of our approach was higher than an existing RSSbased model as packet processing load increased. In addition, we show that our method prevented performance of high-loaded flows from being degraded by priority-based CPU core selection.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Exploring the Performance Impact of Virtualization on an HPC Cloud Performance Study of Spindle, A Web Analytics Query Engine Implemented in Spark Role of System Modeling for Audit of QoS Provisioning in Cloud Services Dependability Analysis on Open Stack IaaS Cloud: Bug Anaysis and Fault Injection Delegated Access for Hadoop Clusters in the Cloud
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1