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Self-Healing Cloud Services in Private Multi-Clouds

机译:私人多云中的自愈云服务

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As clouds continue to dominate as the de facto means of consuming shared computing resources, cloud providers are required to ensure that their services always meet or exceed service level agreements in terms of availability, reliability, scalability, performance etc every hour, day and year. These challenging requirements are even exacerbated when it comes to multi-cloud environments. In the era of automation and continuous cost reductions, using humans to manually test and trigger corrective actions when needed in order to fulfill these service level agreements is considered cumbersome and too expensive. In order to thrive, cloud service providers need a solution which is efficient, cheaper to deploy and easy to operate. This paper introduces a distributed container based solution for testing and self-healing of cloud resources. The proposed solution is based on a containerized multi-agent architecture which leverages Elasticsearch, Logstash, Kibana (ELK) stack and uses a rule-based self-healing algorithm implemented using Drools rule engine and Spring Boot framework. Preliminary tests show that the solution meets its target objectives in terms of maintaining service level agreements, lowering deployment costs, high performance and operability.
机译:随着云继续占据消耗共享计算资源的事实上的核对,需要云提供商来确保其服务在可用性,可靠性,可扩展性,效果等方面始终满足或超过服务级别协议,每小时,日期和年份。当涉及多云环境时,这些具有挑战性的要求甚至会加剧。在自动化的时代和持续成本降低,使用人类在需要时手动测试和触发纠正措施,以满足这些服务水平协议被认为是麻烦的并且太贵。为了茁壮成长,云服务提供商需要一个有效的解决方案,可以更便宜地部署和易于操作。本文介绍了一种基于分布式容器的解决方案,用于测试和自我修复云资源。所提出的解决方案基于集装箱化的多代理架构,利用Elasticsearch,Logstash,Kibana(ELK)堆栈,并使用使用Drools Rule Engine和Spring Boot Framework实现的基于规则的自修复算法。初步测试表明,该解决方案在维护服务水平协议,降低部署成本,高性能和可操作性方面符合其目标目标。

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