再见供应商锁定:让您的云应用程序准备好多云!

M. Rózanska, K. Kritikos
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引用次数: 2

摘要

与传统的集群计算架构相比,云提供了显著的优势,包括灵活性、高可用性、易于部署和按需资源分配——所有这些都包含在对用户有吸引力的即用即付经济模型中。然而,由于使用不兼容的api、特定于云的服务以及云服务提供商(csp)复杂的定价模型,云用户经常被迫陷入供应商锁定。支持混合云和多云部署的云管理平台(cmp)通过为多个云平台提供统一的抽象接口提供了答案。尽管如此,为应用程序建模以使用多云、基于来自各种可用csp的用户需求的自动资源选择、成本优化、安全性和已部署应用程序的运行时适应仍然是一个挑战。在本教程中,我们提供了多云应用程序建模、配置、部署和适配的实用介绍。我们调查了现有的cmp,比较了它们的特征和建模方法。最后,我们提供实用的实践培训,让您的应用程序使用选定的工具为多云做好准备。在本教程结束时,与会者应该能够理解多云方法的好处,并准备部署他们的第一个托管多云应用程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Good Bye Vendor Lock-in: Getting your Cloud Applications Multi-Cloud Ready!
Clouds offer significant advantages over traditional cluster computing architectures including flexibility, high-availability, ease of deployment, and on-demand resource allocation -- all packed up in an attractive pay-as-you-go economic model for the users. However, cloud users are often forced into vendor lock-in due to the use of incompatible APIs, cloud-specific services, and complex pricing models of the cloud service providers (CSPs). Cloud management platforms (CMPs), supporting hybrid and multi-cloud deployment, offer an answer by providing a unified abstract interface to multiple cloud platforms. Nonetheless, modelling applications to use multi-clouds, automated resource selection based on user requirements from various available CSPs, cost optimization, security, and runtime adaptation of deployed applications still remain a challenge. In this tutorial, we provide a practical introduction to multi-cloud application modelling, configuration, deployment, and adaptation. We survey existing CMPs, compare their features and modelling methods. Finally, we provide a practical hands-on training for getting your applications ready for multi-cloud using selected tools. By the end of this tutorial, attendees should be able to understand the benefits of the multi-cloud approach, and prepared to deploy their first managed multi-cloud application.
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