Achieving Autonomicity in IoT systems via Situational-Aware, Cognitive and Social Things

Orfefs Voutyras, Spyridon V. Gogouvitis, Achilleas Marinakis, T. Varvarigou
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引用次数: 12

Abstract

The Internet of Things (IoT) will exponentially increase the scale and the complexity of existing computing and communication systems. In a world of multi-stakeholder information and assets provision on top of millions of real-time interacting and communicating Things, autonomicity is an imperative property and a grand challenge. Autonomic Things will allow systems to self-manage the complexity, the dynamicity and the distribution of the IoT. In order to make Things able to manage themselves and contribute to the global self-management network, we have to empower them with mandatory properties like situational-awareness, knowledge, smartness and social behavior. In this paper we present the approach that the COSMOS project introduces in order to enable Things to evolve and act in a more autonomous way, becoming more reliable and smarter.
通过情境感知、认知和社会事物实现物联网系统的自主性
物联网(IoT)将以指数方式增加现有计算和通信系统的规模和复杂性。在数以百万计的实时交互和通信的事物之上的多利益相关者信息和资产提供的世界中,自主性是一个必不可少的属性,也是一个巨大的挑战。自主事物将允许系统自我管理物联网的复杂性、动态性和分布。为了使事物能够自我管理并为全球自我管理网络做出贡献,我们必须赋予它们强制性的属性,如态势感知、知识、智慧和社会行为。在本文中,我们介绍了COSMOS项目引入的方法,以使事物能够以更自主的方式进化和行动,变得更可靠和更智能。
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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