Clouds4Coordination:在联邦云中管理项目协作

I. Petri, O. Rana, T. Beach, Y. Rezgui, A. Sutton
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引用次数: 2

摘要

云计算在AEC(建筑/工程/建设)项目中的应用在最近的研究中得到了深入的探讨。企业已经采用云计算来存储AEC行业产生的大量数据。在大多数情况下,这些云系统是私有的、孤立的,并且在实际计算操作方面受到限制。随着“多云”或云的云环境的出现,连接这些系统并创建分布式环境已经成为可能。这种聚合的主要好处是:(i)减少对单一云基础设施的依赖,(ii)提高容错性(即一个云系统的故障不会导致整个基础设施无法运行),(iii)提高安全性——与容错性类似,即一个云系统的漏洞不会影响整个基础设施,(iv)利用可能仅在一个云系统中可用且不易转移到另一个云系统的能力(和数据)的能力。当多个个人和组织协同工作时,这样的基础设施变得有效。在本文中,我们提出了一个分布式云的协调模型,其中交互各方由AEC行业组织代表。我们展示了作为“协调云”(C4C)项目的一部分实现的底层架构,并提供了不同组织在AEC项目上共同工作的真实用例。我们通过测量多个不同场景的“聚合完成时间”度量来验证我们的系统。
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Clouds4Coordination: Managing Project Collaboration in Federated Clouds
The use of cloud computing for AEC (Architecture/ Engineering/ Construction) projects has been intensively explored in recent research. Companies have adopted cloud computing for storing the massive amount of data that the AEC industry generates. In most cases these cloud systems are private, isolated and limited in terms of the actual computing operations. With the emergence of "multi-Clouds" or Cloud-of-Clouds environments it has become possible to link such systems and create a distributed environment. The key benefits suggested for such an aggregation is: (i) reduced reliance on a single cloud infrastructure, (ii) improved fault tolerance (whereby failure in one Cloud system does not render the entire infrastructure inoperable), (iii) improved security -- similar argument to fault tolerance, i.e. a breach in one Cloud system does not impact the entire infrastructure, (iv) the ability to utilise capability (and data) that may only be available in one Cloud system and not be easily transferable to another. Such infrastructure becomes efficacious when multiple individuals and organisations work collaboratively. In this paper we present a coordination model for distributed clouds where the interacting parties are represented by AEC industry organisations. We present the underlying architecture that has been implemented as part of the "Clouds-for-Coordination"(C4C) project and provide a real use case where different organisations work jointly on an AEC project. We validate our system by measuring an "aggregated time-to-complete" metric over a number of different scenarios.
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