数据通信在混合云成本中的作用

O. Mazhelis, P. Tyrväinen
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引用次数: 19

摘要

近年来,云服务的快速采用受到多种因素的推动,例如更快的上市时间和公共云基础设施支持的改进的可伸缩性。混合云将内部容量与公共云的按需容量相结合,既提高了内部基础设施的利用率,又限制了更昂贵的公共云的有限使用,从而降低了云用户的总成本。本文提出了一种考虑计算成本和数据通信成本的混合云成本分析模型。使用该模型,可以确定混合云的私有部分和公共部分之间计算能力的经济高效划分。通过对模型的分析,可以解析地表明,向公有云传输/从公有云传输的数据量越大,应该分配给私有云的容量比例越大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Role of Data Communications in Hybrid Cloud Costs
Rapid adoption of cloud services in recent years has been driven by multiple factors, such as faster time-to-market and improved scalability enabled by public cloud infrastructure. Hybrid clouds, combining the in-house capacities with on-demand capacity of public clouds, achieve both the increased utilization rate of the in-house infrastructure and the limited use of more expensive public cloud, thereby lowering the total costs for the cloud user. In this paper, an analytical model of hybrid cloud costs is introduced, wherein the costs of computing and data communication are taken into account. Using this model, the cost-efficient division of the computing capacity between the private and the public portion of a hybrid cloud can be identified. By analyzing the model, it is shown analytically that the greater the volume of data transferred to/from the public cloud, the greater portion of the capacity should be allocated to the private cloud.
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