A distributed architecture for intra- and inter-cloud data management

I. Kelley
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引用次数: 2

Abstract

When envisioning "The Cloud," one is often presented with an idyllic black box of functionality that seamlessly stores arbitrary amounts of data while providing endless CPU cycles. However, Cloud deployments are often partitioned along institutional and middleware boundaries that link computation and storage infrastructures. Decoupling storage from computation resource providers allows for greater flexibility in resource provisioning and new data storage paradigms to emerge. This paper proposes a decentralized data management architecture that facilitates interoperability between Clouds and other heterogeneous systems. The goals of this research are to augment the latent storage capacity within provisioned Cloud VMs with existing institutional resources to build low-cost Storage Clouds for scientific computing.
用于云内和云间数据管理的分布式架构
当设想“云”时,人们通常会看到一个田园诗般的功能黑盒子,它可以无缝地存储任意数量的数据,同时提供无限的CPU周期。然而,云部署通常沿着连接计算和存储基础设施的机构和中间件边界进行划分。将存储与计算资源提供程序解耦,可以在资源配置和新的数据存储范式方面提供更大的灵活性。本文提出了一种分散的数据管理架构,以促进云与其他异构系统之间的互操作性。本研究的目标是利用现有的机构资源来增加预置云虚拟机的潜在存储容量,以构建用于科学计算的低成本存储云。
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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