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Automated SLA Negotiation: A Novel Approach for Optimizing Cloud Data Overload

机译:自动化SLA协商:一种优化云数据过载的新方法

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Cloud computing is a set of processes in which a large group of remote servers communicating together so as to allow sharing data-processing tasks, data storage and online access to compute resources. Managing the drastically increasing number of requests presents the most challenging part of cloud computing. This paper discusses a novel hierarchy for optimizing load to achieve a high user satisfaction. By preserving data about the best cloud service providers, this hierarchy enhances the end user's satisfaction. In other words, as it is proposed in this hierarchy, suppliers with a maximum number of satisfied requests are more likely to be selected as soon as they have available resources/services. On the other hand, when no provider is capable to accomplish the requested tasks, a possibility of cooperation between two or more cloud suppliers is presented as a second option to ensure 100% of user's satisfaction. In order to apply such an approach, a huge amount of resources are wasted when the in-between communication is taking place. Therefore, an optimized method of SLA contract establishment is tackled in this paper.
机译:云计算是一组进程,其中一大群远程服务器通信在一起,以便允许共享数据处理任务,数据存储和在线访问来计算资源。管理急需越来越多的请求提供了最具挑战性的云计算部分。本文讨论了一种新的层次结构,用于优化负载以实现高用户满意度。通过保留有关最佳云服务提供商的数据,此层次结构增强了最终用户的满意度。换句话说,如在该层级中提出的那样,一旦有可用的资源/服务,就会更有可能选择具有最大满意请求数量的供应商。另一方面,当没有提供者能够完成所请求的任务时,两个或更多云供应商之间的可能性是第二个选项,以确保100%的用户满意度。为了应用这种方法,当发生在互相沟通时,浪费了大量资源。因此,本文解决了SLA合同建立的优化方法。

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