Quantifying Manageability of Cloud Platforms

Madhavi Maiya, Sai Dasari, Ravi Yadav, S. Shivaprasad, D. Milojicic
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引用次数: 8

Abstract

Cloud computing has changed the way companies are managing their IT infrastructure and application development and/or deployment. While there are a number of Cloud platforms available, it is a challenge to identify a cloud platform that best suits the business needs. As a consequence Cloud service providers may end up selecting a platform that is either too low- or too high-level to manage, or does not offer the paradigms needed. In this paper, we introduce the Cloud manageability metrics and an approach to quantify the manageability of cloud platforms using the introduced metrics. We then use the metrics and approach to compare manageability of different cloud IaaS and PaaS platforms for specific use case scenarios. The values for the metrics are derived by executing the use cases in each platform using test environments. Based on the results of the comparison, we recommend a cloud platform that is best suited for different organizations needs with respect to cloud management. We expect that the proposed approach will help organizations to evaluate various cloud platforms and choose the platform that best matches their needs.
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量化云平台的可管理性
云计算已经改变了公司管理IT基础设施和应用程序开发和/或部署的方式。虽然有许多可用的云平台,但确定最适合业务需求的云平台是一个挑战。因此,云服务提供商最终选择的平台要么太低,要么太高,无法管理,要么不提供所需的范例。在本文中,我们介绍了云可管理性指标和一种使用引入的指标来量化云平台可管理性的方法。然后,我们使用度量和方法来比较不同的云IaaS和PaaS平台对特定用例场景的可管理性。度量的值是通过在使用测试环境的每个平台中执行用例而得到的。根据比较的结果,我们推荐一种最适合不同组织在云管理方面需求的云平台。我们期望所提出的方法将帮助组织评估各种云平台,并选择最符合其需求的平台。
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