通过雾计算架构实现可持续性

S. Shanmugasundaram, D. Chidambaram
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引用次数: 0

摘要

随着2015年雾计算框架的出现,形成了本地逻辑单元,以增强云计算应用程序的性能。由于计算是分布式的,安全性是临时决定的关键参数之一。通过雾网络,可以设想云和物联网应用程序倾向于减少计算延迟,强调系统的有效性。本文从雾联网计算机的结构、全球关注和支持等方面综述了雾联网计算机的发展现状。随着技术的进步,基于雾的计算工作已经被简化,每台计算机的资源被分配,并且资源与系统中的其他节点共享。在雾计算平台中,被认为至关重要的主要资源是数据的处理速度、内存和数据上传。这些资源被视为分布式资源,而不是集中资源,从而提高了所有授权用户的效率。这有助于在互联网上执行按需服务,并支持需要大量数据处理和大量数据存储的各种应用程序。这种提供临时服务的分布式平台所面临的挑战之一是保持可持续性。本文的主要目的是讨论一个处于概念层面的模型,并指导其进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Attaining Sustainability over Fog Computing Architecture
With the advent of Fog Computing frameworks in the year 2015, local logical units were formed to enhance the performance of Cloud Computing applications. Security is one of the key parameters that is improvised due to the computations that are distributed. Through Fog Networking, it is envisioned that cloud and IoT applications tend to operate with reduced computational delays emphasizing on efficacy of the system. This paper examines the current advances in fog networked computers from the point of view of their structures, global attention and support. With the advancement of technology, the working of Fog based computations have been simplified where each computer's resources are distributed, and the resources are shared with every other node in the system. The major resources that are considered to be vital in the fog computing platform are the processing speed of data, memory and data upload. These are treated as distributed resources rather than as centralized resources and thus promoting efficiency for all the authorized users. This provision helps to perform on-demand services over the Internet and supports a wide variety of applications that requires huge data processing and heavy storage for data. One of the challenges due to this distributed platform that provides services on adhoc basis is to maintain sustainability. The main goal of this paper is that discuss a model that is at the conceptual level and directing it for further research.
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