The cloud network is rapidly growing due to a massive increase in interconnected devices and the emergence of different technologies such as the Internet of things, fog computing, and artificial intelligence. In response, cloud computing needs reliable dealings among the service providers, brokers, and consumers. The existing cloud monitoring frameworks such as Amazon Cloud Watch, Paraleap Azure Watch, and Rack Space Cloud Kick work under the control of service providers. They work fine; however, this may create dissatisfaction among customers over Service Level Agreement (SLA) violations. Customers' dissatisfaction may drastically reduce the businesses of service providers. To cope with the earlier mentioned issue and get in line with cloud philosophy, Monitoring as a Service (MaaS), completely independent in nature, is needed for observing and regulating the cloud businesses. However, the existing MaaS frameworks do not address the comprehensive SLA for customer satisfaction and penalties management. This article proposes a reliable framework for monitoring the provider's services by adopting third-party monitoring services with clearcut SLA and penalties management. Since this framework monitors SLA as a cloud monitoring service, it is named as SLA-MaaS. On violations, it penalizes those who are found in breach of terms and condition enlisted in SLA. Simulation results confirmed that the proposed framework adequately satisfies the customers (as well as service providers). This helps in developing a trustworthy relationship among cloud partners and increases customer attention and retention.

中文翻译：

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服务级别协议监控即服务：云中服务级别协议的独立监控服务

由于互连设备的大量增加以及物联网、雾计算和人工智能等不同技术的出现，云网络正在快速增长。作为回应，云计算需要服务提供商、经纪人和消费者之间的可靠交易。现有的云监控框架（例如 Amazon Cloud Watch、Paraleap Azure Watch 和 Rack Space Cloud Kick）在服务提供商的控制下工作。他们工作得很好；但是，这可能会因违反服务级别协议 (SLA) 而引起客户的不满。客户的不满意可能会大大减少服务提供商的业务。为了解决前面提到的问题并符合云理念，需要完全独立的监控即服务（MaaS）来观察和监管云业务。然而，现有的 MaaS 框架并未解决客户满意度和处罚管理的全面 SLA。本文提出了一个可靠的框架，通过采用具有明确 SLA 和处罚管理的第三方监控服务来监控提供商的服务。由于该框架将SLA作为云监控服务进行监控，因此被命名为SLA-MaaS。对于违规行为，它会对那些被发现违反 SLA 中规定的条款和条件的人进行处罚。模拟结果证实，所提出的框架足以满足客户（以及服务提供商）的要求。这有助于在云合作伙伴之间建立值得信赖的关系，并提高客户的关注度和保留率。