Abstract Image Management and Universal Image Registration for Cloud and HPC Infrastructures

Javier Diaz, G. Laszewski, Fugang Wang, G. Fox
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引用次数: 19

Abstract

Cloud computing has become an important driver for delivering infrastructure as a service (IaaS) to users with on-demand requests for customized environments and sophisticated software stacks. Within the FutureGrid (FG) project, we offer different IaaS frameworks as well as high performance computing infrastructures by allowing users to explore them as part of the FG testbed. To ease the use of these infrastructures, as part of performance experiments, we have designed an image management framework, which allows us to create user defined software stacks based on abstract image management and uniform image registration. Consequently, users can create their own customized environments very easily. The complex processes of the underlying infrastructures are managed by our sophisticated software tools and services. Besides being able to manage images for IaaS frameworks, we also allow the registration and deployment of images onto bare-metal by the user. This level of functionality is typically not offered in a HPC (high performance computing) infrastructure. However, our approach provides users with the ability to create their own environments changing the paradigm of administrator-controlled dynamic provisioning to user-controlled dynamic provisioning, which we also call raining. Thus, users obtain access to a testbed with the ability to manage state-of-the-art software stacks that would otherwise not be supported in typical compute centers. Security is also considered by vetting images before they are registered in a infrastructure. In this paper, we present the design of our image management framework and evaluate two of its major components. This includes the image creation and image registration. Our design and implementation can support the current FG user community interested in such capabilities.
云计算和高性能计算基础设施的图像管理和通用图像配准
云计算已经成为向用户交付基础设施即服务(IaaS)的重要驱动因素,这些用户对定制环境和复杂的软件堆栈有按需请求。在FutureGrid (FG)项目中,我们提供了不同的IaaS框架以及高性能计算基础设施,允许用户将其作为FG测试平台的一部分进行探索。为了简化这些基础设施的使用,作为性能实验的一部分,我们设计了一个图像管理框架,它允许我们基于抽象图像管理和统一图像配准创建用户定义的软件堆栈。因此,用户可以非常容易地创建自己的定制环境。底层基础设施的复杂流程由我们先进的软件工具和服务管理。除了能够管理IaaS框架的映像之外,我们还允许用户注册和部署映像到裸机上。HPC(高性能计算)基础设施通常不提供这种级别的功能。然而,我们的方法为用户提供了创建自己的环境的能力,将管理员控制的动态供应模式更改为用户控制的动态供应模式,我们也称之为训练。因此,用户可以访问具有管理最先进的软件堆栈能力的测试平台,否则在典型的计算中心中是不支持的。通过在基础设施中注册图像之前对其进行审查,还可以考虑安全性。在本文中,我们提出了我们的图像管理框架的设计,并评估了它的两个主要组成部分。这包括映像创建和映像注册。我们的设计和实现可以支持当前对此类功能感兴趣的FG用户社区。
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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