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首页> 外文会议>IEEE International Conference in MOOCs, Innovation and Technology in Education >An autonomic approach for fault tolerance using scaling, replication and monitoring in cloud computing
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An autonomic approach for fault tolerance using scaling, replication and monitoring in cloud computing

机译：云计算中使用缩放，复制和监控的容错性容错自主方法

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摘要

Cloud based systems are more popular in today's world but fault tolerance in cloud is a gigantic challenge, as it affects the reliability and availability for the end users. A number of tools have been deployed to minimize the impact of faults. A fault tolerable system ensures to perform continuous operation and produce correct results even after the failure of components up to some extent. More over huge amount of data in the cloud cannot monitor manually by the administrator. Automated tools, dynamic deploying of more servers are the basic requirements of the todays cloud system in order to handle unexpected traffic spikes in the network. This proposed work introduces an autonomic prospective on managing the fault tolerance which ensure scalability, reliability and availability. HAProxy has been used to provide scaling to the web servers for load balancing in proactive manner. It also monitors the web servers for fault prevention at the user level. Our framework works with autonomic mirroring and load balancing of data in database servers using MySQL master- master replication and Nginx respectively. Administrator keeps an eye on working of servers through Nagios tool 24×7 monitoring can't be done manually by the service provider. The proposed work has been implemented in the cloud virtualization environment. Experimental results show that our framework can deal with fault tolerance very effectively.
机译：基于云的系统在当今的世界中更受欢迎，但云中的容错是一个巨大的挑战，因为它影响了最终用户的可靠性和可用性。已部署了许多工具以最大限度地减少故障的影响。容错系统可确保执行连续操作，即使在一定程度上的组件故障后也会产生正确的结果。云中更多的大量数据无法由管理员手动监视。自动化工具，动态部署更多服务器是当今云系统的基本要求，以便在网络中处理意外的流量峰值。这项建议的工作在管理容错性上引入了自主预期，以确保可扩展性，可靠性和可用性。 HAProxy已被用于为Web服务器提供缩放，以便以主动的方式负载平衡。它还监控用户级别的Web服务器进行故障预防。我们的框架在数据库服务器中使用MySQL Master-Master复制和Nginx具有自主镜像和负载平衡。管理员通过Nagios工具一直关注服务器的工作24×7监控不能由服务提供商手动完成。拟议的工作已在云虚拟化环境中实施。实验结果表明，我们的框架可以非常有效地处理容错。

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