Federated policy management engine for reliable cloud computing

Faraz Fatemi Moghaddam, P. Wieder, R. Yahyapour
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引用次数: 11

Abstract

Cloud computing is a relatively emerging concept of providing dramatically scalable and virtualized IT resources. The lack of novel security controls for the cloud might arise from the fact that cloud computing is the convergence of many different technological areas, including virtualization and service oriented architectures. One of the most challenging issues in clouds is to provide an appropriate level of security for the virtualized infrastructure. Indeed, each individual cloud user needs to be granted reliable security level(s) based on defined details of SLA. In this paper, a federated policy-based resource classification model has been presented to classify and manage security levels in clouds and to provide efficient mapping between access requests and defined policies of each cloud node. This federation helps to decrease the processing power of evaluating each access request. Moreover, the process of mapping requests to target nodes is more efficient by clustering cloud nodes based on common policies. The reliability and efficiency of this policy-based classification schema have been evaluated by scientific performance, security and competitive analysis.
联邦策略管理引擎,用于可靠的云计算
云计算是一个相对新兴的概念,它提供了显著可伸缩和虚拟化的IT资源。云缺乏新的安全控制可能是因为云计算是许多不同技术领域的融合,包括虚拟化和面向服务的体系结构。云计算中最具挑战性的问题之一是为虚拟化基础设施提供适当级别的安全性。实际上,需要根据SLA的定义细节为每个云用户授予可靠的安全级别。本文提出了一种基于联邦策略的资源分类模型,用于对云中的安全级别进行分类和管理,并在每个云节点的访问请求和已定义策略之间提供有效的映射。这种联合有助于降低评估每个访问请求的处理能力。此外,通过基于公共策略对云节点进行集群,可以提高请求映射到目标节点的效率。通过科学性能、安全性和竞争分析,评价了该策略分类模式的可靠性和有效性。
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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