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A Survey of Profit Optimization Techniques for Cloud Providers
ACM Computing Surveys ( IF 23.8 ) Pub Date : 2020-03-20 , DOI: 10.1145/3376917
Peijin Cong 1 , Guo Xu 1 , Tongquan Wei 1 , Keqin Li 2
Affiliation  

As the demand for computing resources grows, cloud computing becomes more and more popular as a pay-as-you-go model, in which the computing resources and services are provided to cloud users efficiently. For cloud providers, the typical goal is to maximize their profits. However, maximizing profits in a highly competitive cloud market is a huge challenge for cloud providers. In this article, a survey of profit optimization techniques is proposed to increase cloud provider profitability through service quality improvement, service pricing, energy consumption reduction, and virtual network function (VNF) deployment. The strategy of improving user service quality is discussed first, followed by the pricing strategy for cloud resources to maximize revenue. Then, this article summarizes the techniques for cloud data centers to reduce server power consumption. Finally, various heuristic algorithms for VNF deployment in the cloud are further described to reduce the cost of cloud providers while maintaining performance. We classify research works based on components of profit and methods used to demonstrate similarities and differences in these studies. We hope this survey will provide researchers with insights into cloud profit optimization techniques.

中文翻译:

云提供商利润优化技术调查

随着对计算资源需求的增长,云计算作为按需付费的模式越来越流行,在这种模式下,计算资源和服务可以高效地提供给云用户。对于云提供商来说,典型的目标是最大化他们的利润。然而,在竞争激烈的云市场中实现利润最大化对云提供商来说是一个巨大的挑战。在本文中,提出了一项利润优化技术调查,以通过提高服务质量、服务定价、降低能耗和虚拟网络功能 (VNF) 部署来提高云提供商的盈利能力。首先讨论提高用户服务质量的策略,其次是云资源的定价策略以实现收益最大化。然后,本文总结了云数据中心降低服务器功耗的技术。最后,进一步描述了在云中部署 VNF 的各种启发式算法,以在保持性能的同时降低云提供商的成本。我们根据利润的组成部分和用于证明这些研究的异同的方法对研究工作进行分类。我们希望这项调查能为研究人员提供有关云利润优化技术的见解。
更新日期:2020-03-20
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