大规模复杂关键基础设施的有效数据传播

C. Esposito, C. Martino, M. Cinque, Domenico Cotroneo
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引用次数: 7

摘要

大规模复杂的基础设施正在成为互联网上全球关键任务系统联盟的新计算平台。但是,数据传播的标准方法仍然不适合这些系统的规模。Internet的最佳交付保证和节点故障的发生可能会危及数据的正确和及时交付,从而影响整个基础设施的任务。本文提出了一种在大型复杂关键基础设施上进行弹性和可扩展数据传播的点对点方法。该方法基于在对等群体之间采用流行病传播算法,并结合群体领导者的半主动复制。基于随机活动网络的大量仿真实验证明了该方法的有效性。结果表明,与标准解决方案的3个9(99.9%)弹性水平相比,在点对点覆盖上使用流行算法可以实现5个9(99.999%)的弹性水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effective Data Dissemination for Large-Scale Complex Critical Infrastructures
Large-scale complex infrastructures are emerging as new computing platforms for the federation of world-wide mission critical systems over the Internet. However, standard approaches to data dissemination are still not adequate to the scale of these systems. The best-effort delivery guarantees of the Internet and the occurrence of node failures may compromise the correct and timely delivery of data, and hence the mission of the overall infrastructure. This paper presents a peer-to-peer approach for resilient and scalable data dissemination over large-scale complex critical infrastructures. The approach is based on the adoption of epidemic dissemination algorithms between peer groups, combined with the semi-active replication of group leaders. The effectiveness of the approach is shown by means of extensive simulation experiments, based on Stochastic Activity Networks. Results demonstrate that the use of epidemic algorithms over peer-to-peer overlays can achieve a 5 nines (99.999%) resiliency level, compared to the 3 nines (99.9%) of the standard solution.
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