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Self-Healing Cloud Services in Private Multi-Clouds

机译:私有多云中的自我修复云服务

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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:随着云继续成为消耗共享计算资源的事实上的手段,云提供商需要确保其服务始终在每小时,每天和每年的可用性,可靠性,可伸缩性,性能等方面达到或超过服务水平协议。当涉及到多云环境时,这些挑战性要求甚至会加剧。在自动化和持续降低成本的时代,为了满足这些服务水平协议,在需要时使用人工手动测试并触发纠正措施被认为既麻烦又太昂贵。为了蓬勃发展,云服务提供商需要一种高效,部署便宜且易于操作的解决方案。本文介绍了一种用于测试和自我修复云资源的基于分布式容器的解决方案。提出的解决方案基于容器化的多代理架构,该架构利用了Elasticsearch,Logstash,Kibana(ELK)堆栈,并使用了基于规则的自我修复算法,该算法使用Drools规则引擎和Spring Boot框架实现。初步测试表明,该解决方案在维护服务级别协议,降低部署成本,高性能和可操作性方面达到了其目标。

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