Adaptive virtualization for AI-enabled Cloud-edge Continuum (CloudSkin)

支持 AI 的自适应虚拟化云边缘连续体 (CloudSkin)

• 批准号: 10058091
• 金额: $ 59.4万
• 依托单位: IMPERIAL COLLEGE LONDON
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10058091
• 关键词: Adaptive; virtualization; AI; enabled; Cloud

As of today, 80% of the data processing and analysis occurs in cloud data centers, and only 20% of processing occurs at the edge. This incipient exploitation of edge resources increases time to value and prevents business processes, decisions, and intelligence to be taken outside of the data center, which prevents Europe to unlock an entire set of new opportunities to serve different industries and use cases in Europe in the next years. To help to materialize the European bid on a true continuum in the next few years, CloudSkin pursues to build a cognitive cloud continuum platform with three main innovations: 1. The CloudSkin platform will leverage AI/ML to optimize workloads, resources, energy, and network traffic for a rapid adaptation to changes in application behavior and data variability, re-configuraing the "sweet spot" between the cloud and the edge in the face of the rapid varying conditions; 2. The CloudSkin platform will also help users to achieve “stack identicality” across the Cloud-edge continuum, whereby the same (legacy) software stacks (e.g., MPI programs) running in data centers can seamlessly run at remote edges. The development of a new lightweight, portable virtualizaion abstraction will be paired with the development of new confidential abstractions to protect data while it is in use; and 3. CloudSkin will also contribute to prepare the needed infrastructure to integrate the new virtualized execution abstractions into the virtual resource continuum, particularly, for those Cloud-edge applications composed of small tasks with fast data access and sharing requirements. The infrastructure will expose the relevant control knobs to enable dynamic reconfiguration of resources as assisted by the AI/ML-based orchestration plane in the CloudSkin platform. Altogether, the above innovations are the strategic elements of what we envision as the new “cognitive continuum for the cloud and edge".

到目前为止，80%的数据处理和分析发生在云数据中心，只有20%的处理发生在边缘。这种边缘资源的早期开发增加了价值实现时间，并阻止了业务流程，决策和智能在数据中心之外进行，这阻止了欧洲在未来几年内为欧洲的不同行业和用例提供一系列新的机会。为了帮助在未来几年实现欧洲对真正连续体的竞标，CloudSkin致力于建立一个具有三个主要创新的认知云连续体平台：1. CloudSkin平台将利用AI/ML来优化工作负载、资源、能源和网络流量，以快速适应应用行为和数据变化的变化，在快速变化的条件下重新配置云和边缘之间的“甜蜜点”; 2. CloudSkin平台还将帮助用户在云边缘连续体中实现“堆栈一致性”，从而相同的（传统）软件堆栈（例如，在数据中心运行的MPI程序可以在远程边缘无缝运行。新的轻量级、便携式虚拟化抽象的开发将与新的机密抽象的开发相结合，以在使用数据时保护数据; 3. CloudSkin还将有助于准备所需的基础设施，以将新的虚拟化执行抽象集成到虚拟资源连续体中，特别是对于那些由具有快速数据访问和共享要求的小型任务组成的云边缘应用程序。基础设施将公开相关的控制旋钮，以在CloudSkin平台中基于AI/ML的编排平面的帮助下实现资源的动态重新配置。总之，上述创新是我们设想的新的“云和边缘认知连续体”的战略要素。