Energy management in a cloud-based cyber-physical system

IF 1.7 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Efe F. Orumwense, Khaled M. Abo-Al-Ez
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引用次数: 0

Abstract

Cyber-physical systems (CPSs) are embodied systems of highly unified computational, control and communicational elements tightly fused with the physical world. Normally, CPSs are seen to have limited storage and computational abilities due to the fact that they are implemented across several platforms and also embedded into larger systems. The fusion of Cloud computing and CPS gives rise to Cloud-based CPS; Cloud computing will no doubt provide numerous opportunities for CPSs to increase their capabilities by taking advantage of the resources (applications, servers, storage and network capabilities). With this new addition, there will definitely be an increase in energy consumption in the system and this becomes a huge and daunting task that needs to be overcome in actualising this goal. Here, the energy consumption in the network system is being evaluated to ensure an effective data transmission amongst sensor nodes. A simulation environment is considered where a particle swarm optimization algorithm is introduced to optimise and balance the consumption of energy in the system network. To ensure an energy-efficient Cloud data control center, an energy consumption model is developed based on resource utilisation. This, however, assists in managing the amount of resources to be utilised for a specific amount of workload.

Abstract Image

基于云的网络物理系统中的能源管理
信息物理系统(cps)是高度统一的计算、控制和通信元素与物理世界紧密融合的具体化系统。通常,cps被认为具有有限的存储和计算能力,因为它们是跨多个平台实现的,并且还嵌入到更大的系统中。云计算与CPS的融合产生了基于云的CPS;毫无疑问,云计算将为cps提供许多机会,通过利用资源(应用程序、服务器、存储和网络功能)来提高其能力。有了这个新添加,系统中的能耗肯定会增加,这成为实现这一目标需要克服的巨大而艰巨的任务。在这里,正在评估网络系统中的能量消耗,以确保传感器节点之间有效的数据传输。在仿真环境中,引入粒子群优化算法对系统网络的能量消耗进行优化和平衡。为了保证云数据控制中心的高能效,建立了基于资源利用的能耗模型。但是,这有助于管理用于特定工作量的资源量。
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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来源期刊
IET Cyber-Physical Systems: Theory and Applications
IET Cyber-Physical Systems: Theory and Applications Computer Science-Computer Networks and Communications
CiteScore
5.40
自引率
6.70%
发文量
17
审稿时长
19 weeks
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