将工作负载迁移到公共云的可持续性

Priya Pathania, Raj Mithani
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引用次数: 3

摘要

最近,基于云的应用程序和基础设施有了相当大的增长。这导致了更快的创新、敏捷的业务、互联网上新服务的可用性、改进的协作和更好的安全性。随着区块链、量子计算、以移动为中心的应用程序和边缘计算等新技术的发展,人们对采用云服务的兴趣越来越大。在本文中,我们将重点介绍将工作负载从本地数据中心迁移到公共云时的不同可持续性指标和优势。此外,云是弹性的、可伸缩的、经济高效的、健壮的,总体上是托管客户机应用程序和服务的更好选择。我们介绍了主要的云服务提供商(csp)如何不断努力改进其基础设施,以实现更节能的云。但是,考虑到云服务的成本、数据中心的位置等诸多因素,当客户从本地数据中心迁移时,选择云服务提供商成为一项相当繁琐的任务。因此,我们也简要地提出我们目前正在研究的解决方案。最终目标是提供一个跨平台咨询,该咨询基于广泛的基于客户的输入和当前节能云及其可持续性指标的丰富存储库,旨在为客户提供关于首选云服务提供商的详细建议。如果客户没有提供任何此类偏好,咨询报告还应针对其特定工作负载推荐理想的云服务提供商。这个建议的行动将能够满足客户的限制,并为他们提供一个节能的云以及可持续性得分。这个分数表明,通过迁移到建议的云,可以在能源消耗和碳足迹方面取得多大的改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sustainability in Migrating Workloads to Public Clouds
In recent times, there has been a considerable increase in Cloud-Based applications and infrastructure. This has led to quicker innovations, agile businesses, availability of new services over the internet, improved collaboration, and better security. With the growth of new technologies like blockchain, quantum computing, mobility-focused applications, and edge computing, there has been an increased interest in adopting cloud services. In this paper, we highlight the different sustainability metrics and benefits while migrating workloads from the on-prem data center to the public clouds. Also, the clouds are elastic, scalable, cost-efficient, robust, and overall a better alternative to host the client applications and services. We present how the major Cloud Service Providers (CSPs) are continuously working on improving their infrastructure for a more energy efficient cloud. But with so many factors like the cost of cloud services, the location of the data center to name a few, it becomes quite a tedious task for the clients to select a cloud service provider when moving from their on-premise data center(s). Hence, we also briefly propose our solution that we are currently working on. The final goal is to have a cross-platform advisory that based on a wide-range of client-based inputs and a rich repository of current energy efficient clouds and their sustainability metrics, aims to provide them a detailed recommendation about their preferred cloud service provider. In case the client does not provide any such preference, the advisory should also recommend an ideal cloud service provider for their particular workload. This suggested action will be able to fulfill the client's constraints as well as provide them an energy efficient cloud along with a sustainability score. This score is indicative of how much improvement in the energy consumed and carbon footprint can be achieved through this migration to the suggested cloud.
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