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作 者:田富强 佘文魁 胡波 TIAN Fuqiang;YU Wenkui;HU Bo(Aostar Information Technologies Co.,Ltd.,Chengdu,Sichuan Province,610041 China)
机构地区:[1]四川中电启明星信息技术有限公司,四川成都610041
出 处:《科技创新导报》2020年第19期117-119,122,共4页Science and Technology Innovation Herald
摘 要:随着业务系统上云规模的不断扩大,云平台对虚拟机可用性要求越来越高。为了进一步提升虚拟机的可用性,减少业务停机时间,平台需要在短时间内将虚拟机及业务恢复运行,同时必须防止因判定条件不充分导致虚拟机脑裂。这依赖于HA(High Availability)对资源池中众多计算节点的状态进行实时准确的判定。针对电力云平台虚拟机HA,本文全新提出通过FCSAN的逻辑卷心跳信号来增强对主机状态感知的方案。经测试,该方案相比仅通过以太网络来确认主机心跳信号的方式要更可靠。With the continuous expansion of cloud scale on business systems,cloud platforms have increasingly higher requirements on the availability of virtual machines.In order to further improve the availability of virtual machines and reduce business downtime,the platform needs to resume the virtual machines and services within a short period of time.At the same time,it must prevent the virtual machine from being split due to insufficient judgment conditions.This relies on HA(High Availability)to accurately determine the state of many computing nodes in the resource pool in real time.For the power cloud platform virtual machine HA,this paper proposes a new solution to enhance the host state awareness through the FCSAN logical volume heartbeat signal.After testing,this scheme is more reliable than the way to confirm the host heartbeat signal only through the Ethernet network.
分 类 号:TP302[自动化与计算机技术—计算机系统结构]
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