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Adaptive Preventive and Remedial Measures in Resolving Cloud Quality of Service Violation

机译:解决云服务质量违规的自适应预防和补救措施

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摘要

Cloud Computing acts as a paradigm to support on-demand computing services, from applications to storage, manage and processing capabilities. One of the major challenges in delivering and accessing cloud applications is the management of Quality of Service (QoS) and cloud service providers are mandated to adhere to Service Level Agreement (SLA) in providing quality cloud services to the users. The agreement matching is important for both parties to ensure satisfaction and expectation level. This proposed work aims to resolve cloud QoS violation with the implementation of adaptive preventive and remedial mechanisms. Preventive measure such as horizontal scaling is used to optimize the performance of a running cloud service in order to prevent the cloud service to downgrade to QoS violation condition. Remedial action on the other hand, is to provide fault tolerance using replication for faulty cloud service to recover from failure incidents or already violation condition. Experimental results have demonstrated the feasibility and effectiveness of applying horizontal scaling in preventing and replication in rectifying cloud QoS violations based on response time and throughput.
机译:云计算是支持从应用程序到存储,管理和处理功能的按需计算服务的范例。交付和访问云应用程序的主要挑战之一是服务质量(QoS)的管理,并且云服务提供商必须在向用户提供优质云服务时遵守服务水平协议(SLA)。协议匹配对于双方确保满意度和期望水平很重要。这项拟议的工作旨在通过实施自适应预防和补救机制来解决云QoS违规问题。为了防止云服务降级到QoS违反条件,使用了诸如水平扩展之类的预防措施来优化正在运行的云服务的性能。另一方面,补救措施是使用复制来提供容错能力,以使有故障的云服务从故障事件或已经违反的情况中恢复。实验结果证明了在响应时间和吞吐量的基础上,应用水平扩展来预防和复制纠正云QoS违规的可行性和有效性。

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