CloudAdvisor: A Recommendation-as-a-Service Platform for Cloud Configuration and Pricing

2013 IEEE Ninth World Congress on Services Pub Date : 2013-06-01 DOI:10.1109/SERVICES.2013.55

Gueyoung Jung, Tridib Mukherjee, Shruti Kunde, Hyunjoo Kim, Naveen Sharma, Frank Goetz

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引用次数: 50

Abstract

The proliferation of cloud computing can imply a barrier to cloud users. When deploying their complex workloads into clouds, cloud users are typically overwhelmed by too many technical choices. Moreover, underlying technologies and pricing mechanisms of clouds vary and are not transparent to them. Consequently, it is hard for cloud users to capture the monetary and performance implications of their workload deployments. This paper introduces a cloud recommendation platform, referred to as Cloud Advisor. It allows cloud users to explore various cloud configurations recommended based on user preferences such as budget, performance expectation, and energy saving for given workload. Then, it allows cloud users to compare offered price and performance with other clouds' offerings for the workload. By providing transparent comparisons, it can also support cloud provider to develop a competitive pricing strategy such as price reduction driven by energy efficiency. We have applied the proposed platform for recommendation from a real data center and some external clouds.

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CloudAdvisor:云配置和定价的推荐即服务平台

云计算的扩散可能意味着云用户的障碍。在将复杂的工作负载部署到云中时，云用户通常会被太多的技术选择所淹没。此外，云的底层技术和定价机制各不相同，对它们来说并不透明。因此，云用户很难了解其工作负载部署的财务和性能影响。本文介绍了一个云推荐平台，称为cloud Advisor。它允许云用户探索基于用户偏好(如预算、性能期望和给定工作负载的节能)推荐的各种云配置。然后，它允许云用户将所提供的价格和性能与其他云产品的工作负载进行比较。通过提供透明的比较，它还可以支持云提供商制定具有竞争力的定价策略，例如由能源效率驱动的降价。我们已经从一个真实的数据中心和一些外部云应用了所提出的推荐平台。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2013 IEEE Ninth World Congress on Services

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