云计算中的虚拟机迁移策略

S. Liyanage, S. Khaddaj, J. Francik
{"title":"云计算中的虚拟机迁移策略","authors":"S. Liyanage, S. Khaddaj, J. Francik","doi":"10.1109/DCABES.2015.44","DOIUrl":null,"url":null,"abstract":"In a typical cloud based data centre, several physical machines (PM) host dozens of virtual machines (VM), which run various applications and services. VM load varies according to the different type of users' applications and traffic, and sometime this traffic may overwhelm VM's resources. Physical machines that host many VMs have limited capacity and if they are overloaded their performance might degrade or completely fail. A VM machine that hosts several different applications on a heavily loaded PM can be migrated to another under loaded PM in order to exploit the availability of the resources and to balance the load. In data centres, VMs exposed to huge amount of user traffic, if VM migration occurs on a network link that is overwhelmed with user traffic, then it will create a bottleneck if there's not enough bandwidth on the link to support the VM migration. Therefore, there is a clear need for mechanisms to control user traffic on both source and destination PMs in order to provide guaranteed bandwidth that needed for VM migration.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Virtual Machine Migration Strategy in Cloud Computing\",\"authors\":\"S. Liyanage, S. Khaddaj, J. Francik\",\"doi\":\"10.1109/DCABES.2015.44\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In a typical cloud based data centre, several physical machines (PM) host dozens of virtual machines (VM), which run various applications and services. VM load varies according to the different type of users' applications and traffic, and sometime this traffic may overwhelm VM's resources. Physical machines that host many VMs have limited capacity and if they are overloaded their performance might degrade or completely fail. A VM machine that hosts several different applications on a heavily loaded PM can be migrated to another under loaded PM in order to exploit the availability of the resources and to balance the load. In data centres, VMs exposed to huge amount of user traffic, if VM migration occurs on a network link that is overwhelmed with user traffic, then it will create a bottleneck if there's not enough bandwidth on the link to support the VM migration. Therefore, there is a clear need for mechanisms to control user traffic on both source and destination PMs in order to provide guaranteed bandwidth that needed for VM migration.\",\"PeriodicalId\":444588,\"journal\":{\"name\":\"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DCABES.2015.44\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCABES.2015.44","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

在典型的基于云的数据中心中,几台物理机(PM)托管数十台虚拟机(VM),这些虚拟机运行各种应用程序和服务。虚拟机的负载根据用户应用的类型和流量的不同而不同,有时这些流量可能会使虚拟机的资源不堪重负。承载许多虚拟机的物理机容量有限,如果它们过载,它们的性能可能会下降或完全失败。为了利用资源的可用性并平衡负载,可以将在负载较重的PM上承载多个不同应用程序的VM机器迁移到负载较低的PM上。在数据中心,虚拟机暴露在大量的用户流量中,如果虚拟机迁移发生在被用户流量淹没的网络链路上,那么如果链路上没有足够的带宽来支持虚拟机迁移,就会产生瓶颈。因此,很明显需要一种机制来控制源和目标pm上的用户流量,以便为VM迁移提供有保证的带宽。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Virtual Machine Migration Strategy in Cloud Computing
In a typical cloud based data centre, several physical machines (PM) host dozens of virtual machines (VM), which run various applications and services. VM load varies according to the different type of users' applications and traffic, and sometime this traffic may overwhelm VM's resources. Physical machines that host many VMs have limited capacity and if they are overloaded their performance might degrade or completely fail. A VM machine that hosts several different applications on a heavily loaded PM can be migrated to another under loaded PM in order to exploit the availability of the resources and to balance the load. In data centres, VMs exposed to huge amount of user traffic, if VM migration occurs on a network link that is overwhelmed with user traffic, then it will create a bottleneck if there's not enough bandwidth on the link to support the VM migration. Therefore, there is a clear need for mechanisms to control user traffic on both source and destination PMs in order to provide guaranteed bandwidth that needed for VM migration.
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
×
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