对延迟敏感的电话应用的云支持

Jong-Yul Kim, H. Schulzrinne
{"title":"对延迟敏感的电话应用的云支持","authors":"Jong-Yul Kim, H. Schulzrinne","doi":"10.1109/CloudCom.2013.61","DOIUrl":null,"url":null,"abstract":"Cloud computing is great for scaling applications but the latency in a guest VM can be unpredictable due to resource contention between neighbors. For telephony applications, which are latency-sensitive, we propose a system to monitor telephony server latencies and adapt the server load based on the measured latencies. We implemented the system and evaluated it on an Amazon EC2 test bed. We show indirectly by comparing our server on EC2 and on a local VM, that there may be contention between EC2 VMs in the wild that leads to higher server latency. While there is some overhead due to constant monitoring of the server, our system manages to lower latency by reducing the load to the server.","PeriodicalId":198053,"journal":{"name":"2013 IEEE 5th International Conference on Cloud Computing Technology and Science","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Cloud Support for Latency-Sensitive Telephony Applications\",\"authors\":\"Jong-Yul Kim, H. Schulzrinne\",\"doi\":\"10.1109/CloudCom.2013.61\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cloud computing is great for scaling applications but the latency in a guest VM can be unpredictable due to resource contention between neighbors. For telephony applications, which are latency-sensitive, we propose a system to monitor telephony server latencies and adapt the server load based on the measured latencies. We implemented the system and evaluated it on an Amazon EC2 test bed. We show indirectly by comparing our server on EC2 and on a local VM, that there may be contention between EC2 VMs in the wild that leads to higher server latency. While there is some overhead due to constant monitoring of the server, our system manages to lower latency by reducing the load to the server.\",\"PeriodicalId\":198053,\"journal\":{\"name\":\"2013 IEEE 5th International Conference on Cloud Computing Technology and Science\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE 5th International Conference on Cloud Computing Technology and Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CloudCom.2013.61\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 5th International Conference on Cloud Computing Technology and Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CloudCom.2013.61","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

云计算非常适合扩展应用程序,但是由于邻居之间的资源争用,客户机VM中的延迟可能是不可预测的。对于对延迟敏感的电话应用程序,我们提出了一种监控电话服务器延迟的系统,并根据测量到的延迟调整服务器负载。我们实现了该系统,并在Amazon EC2测试平台上对其进行了评估。通过比较我们在EC2上的服务器和在本地VM上的服务器,我们可以间接地看到,EC2 VM之间可能存在争用,从而导致更高的服务器延迟。虽然持续监控服务器会带来一些开销,但我们的系统通过减少服务器的负载来降低延迟。
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
Cloud Support for Latency-Sensitive Telephony Applications
Cloud computing is great for scaling applications but the latency in a guest VM can be unpredictable due to resource contention between neighbors. For telephony applications, which are latency-sensitive, we propose a system to monitor telephony server latencies and adapt the server load based on the measured latencies. We implemented the system and evaluated it on an Amazon EC2 test bed. We show indirectly by comparing our server on EC2 and on a local VM, that there may be contention between EC2 VMs in the wild that leads to higher server latency. While there is some overhead due to constant monitoring of the server, our system manages to lower latency by reducing the load to the server.
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
A Feasibility Study of Host-Level Contention Detection by Guest Virtual Machines Porting Grid Applications to the Cloud with Schlouder Towards Data Handling Requirements-Aware Cloud Computing Providing Desirable Data to Users When Integrating Wireless Sensor Networks with Mobile Cloud MELA: Monitoring and Analyzing Elasticity of Cloud Services
×
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