Performance Assessment of High-availability Systems using Markov Chains

Alberto Avritzer
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Abstract

As our society evolves, more and more aspects of our daily life depend on large-scale infrastructures such as software intensive computer infrastructures, rails and road networks, gas networks, water networks, power networks, and telecommunication networks, including the internet, wired and wireless telephony. Critical infrastructures are everywhere and they are becoming increasingly more interconnected and interdependent. Open source software repositories (e.g. Sonatype Nexus) have become central to these critical infrastructures, as they are used to support continuous system integration in several critical domains such as telecom, banking, airlines and government. In this keynote, we present an approach for Survivability Evaluation of Critical infrastructures and its application in a DevOps environment. We present examples of application to Water, Gas, Power, and Computer infrastructures. This work is the fruit of open global research collaboration with many colleagues in several Universities and research Labs.
基于马尔可夫链的高可用性系统性能评估
随着社会的发展,我们日常生活中越来越多的方面依赖于大型基础设施,如软件密集型计算机基础设施、铁路和公路网、燃气网、水网、电网和电信网络,包括互联网、有线和无线电话。关键的基础设施无处不在,它们变得越来越相互联系和相互依存。开源软件存储库(例如Sonatype Nexus)已经成为这些关键基础设施的核心,因为它们用于支持几个关键领域(如电信、银行、航空和政府)的持续系统集成。在这个主题演讲中,我们提出了一种关键基础设施的生存能力评估方法及其在DevOps环境中的应用。我们给出了应用于水、气、电和计算机基础设施的例子。这项工作是与几所大学和研究实验室的许多同事进行开放的全球研究合作的成果。
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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