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Cloud Services Quality Enhancement through Control Monitoring of Service Level Agreements at Server and Consumer Side

机译:云服务质量通过控制和监控服务器和消费者的服务水平协议

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Several researches and case studies have been revealing a repetitive issue and that is monopolization of controlling, measuring, and metering of the consumer’s billing for the consumed Cloud Services. The Cloud Service Providers (CSPs) have been hiding, or monopolizing the controlling, metering tools and ignoring the calculation and consideration of the service defects like downtime, service outage, poor performance and client service migration delays during overloads of the servers. The main issues behind these discrepancies are the Service Level Agreement (SLA), its violation, and the monopolized Cloud Governance. Till now there is a lack of parallel monitoring and metering system of the consumed cloud services at the customer level under the provisions of SLAs. The Cloud Governance Tier has not given any flexibility or utility to monitor such consumed cloud services at the client tier in parallel to the CSP tier. This research is an effort to develop a SLA controlling/monitoring framework to solve the identified problems other than the CSP level. Further the E_Draw max was used for designing the framework. The framework consists of the components like;SLA_CSP, SLA_CSC, SLA_M&C and Cloud Services and Delivery Models. After designing the framework, a prototype was developed using CloudSim on java net beans, and MySQL database. This prototype was implemented using four scenarios to evaluate its performance and the functionalities. 1) Checking the SLA under CSP whether the resources to the consumer in the same manner with promised. 2) To check if the request from cloud consumer is less than what is expected in SLA. 3) To check by increasing the request of cloud consumer more than what is expected in SLA and 4) Using the SLA_M&C mechanism. After execution it was observed that, in the first and the second cases there is no violation, but there is violation in the third and fourth cases. This implied that there are chances of the discrepancies in resources provided to make the selves beneficiary beyond SLA under CSP and CSC was discriminated while receiving services from CSP.
机译:几项研究和案例研究一直揭示了重复的问题,这是消费者云服务消费者计费的控制,测量和计量的垄断。云服务提供商(CSP)一直在隐藏,或垄断控制,计量工具并忽略服务器过载过程中的停机时间,服务中断,性能迁移延迟等服务缺陷的计算和考虑。这些差异背后的主要问题是服务级别协议(SLA),违规行为和垄断云治理。到目前为止,在SLA的规定下,客户级别缺乏CAMETED云服务的平行监控和计量系统。云治理层没有给出任何灵活性或实用程序,以监视客户端在客户端连接到CSP层的消耗云服务。本研究旨在开发SLA控制/监控框架,以解决除CSP级别以外的标识问题。此外,E_DRAW MAX用于设计框架。该框架由像这样的组件组成; SLA_CSP,SLA_CSC,SLA_M&C和云服务和交付模型。在设计框架之后,使用Java Net Bean上的CloudSim和MySQL数据库开发了原型。使用四种方案实现此原型来评估其性能和功能。 1)检查CSP下的SLA是否以与承诺的方式以同样的方式对消费者的资源。 2)检查来自云消费者的请求是否小于SLA中的预期。 3)使用SLA_M&C机制增加云消费者的要求超过SLA和4中的预期。执行后,观察到,在第一个和第二个案例中,没有违规,但第三个和第四个案例存在违规。这意味着,在CSP下,提供了在CSP和CSP的服务接收服务的同时在CSP下获得超越SLA之外的SLA差异的可能性存在差异。

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