Autonomic computing: A revolutionary paradigm for implementing self-managing systems

P. Singh, Arun Sharma, Amit Kumar, Ayush Saxena
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引用次数: 6

Abstract

Recent developments in the field of Information & Communication Technology (ICT) have led to a large scale installation of computing devices connected to each other via different networking technologies. But the scale, complexity, dynamism and heterogeneity of these devices have rendered networks, systems & applications insecure, unmanageable & brittle. Soon the number of these devices will outnumber the humans using them, which makes managing them a cumbersome task. The level of expertise needed to handle these complex systems will also raise. Hence there is a need of alternate system and application design paradigm based on strategies used by biological systems, especially Autonomic Nervous System (ANS). Based on ANS, self-managing computer systems and software tools are being realized. Various subsystems of ANS such as immune system may also motivate growth in developing self-protecting systems. This paper presents a study on autonomic computing along with its architecture, metrics, design issues and some applications.
自主计算:实现自我管理系统的革命性范例
信息和通信技术(ICT)领域的最新发展导致通过不同的网络技术相互连接的计算设备的大规模安装。但这些设备的规模、复杂性、动态性和异质性使得网络、系统和应用变得不安全、难以管理和脆弱。很快,这些设备的数量将超过使用它们的人,这使得管理它们成为一项繁琐的任务。处理这些复杂系统所需的专业知识水平也将提高。因此,需要基于生物系统,特别是自主神经系统(ANS)所使用的策略的替代系统和应用设计范式。在ANS的基础上,实现了自我管理的计算机系统和软件工具。ANS的各种子系统,如免疫系统,也可以促进自我保护系统的发展。本文介绍了自主计算及其体系结构、度量、设计问题和一些应用。
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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