Abstract

Green and cloud computing (G-cloud) are new trends in all areas of computing. The G-cloud provides an efficient function, which enables users to access their programs, systems and platforms at anytime and anyplace. Green computing can also yield greener technology by reducing power consumption for sustainable environments. Furthermore, in order to apply user needs to the system development, the user characteristics are regarded as some of the most important factors to be considered in product industries. In this paper, we propose a cloud monitoring system to observe and manage the manufacturing system/factory automation for sustainable green computing. For monitoring systems, we utilized the resources in the G-cloud environments, and hence, it can reduce the amount of system resources and devices, such as system power and processes. In addition, we propose adding a user profile to the monitoring system in order to provide a user-friendly function. That is, this function allows system configurations to be automatically matched to the individual’s requirements, thus increasing efficiency.

Highlights

  • Designers of the manufacturing systems in factory automation are in constant search of new principles, new mechanisms, applications, services and tools to enable faster and more efficient performance for today’s systems

  • The pre-test conditions involved processes that are consistent with existing methods, with only the monitoring system and the post-test involving the methods proposed, which included the user profile analysis and the green and cloud computing(G-cloud)monitoring system

  • This research focuses on a monitoring system for a manufacturing system in a factory

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Summary

Introduction

Designers of the manufacturing systems in factory automation are in constant search of new principles, new mechanisms, applications, services and tools to enable faster and more efficient performance for today’s systems. In recent times, factory development has become more oriented towards strategic objectives and continuous operation without any jams or errors, while maximizing economic efficiency [1] For this purpose, optimizing the design of manufacturing systems [2,3,4] in the factory environment can be very important work. It is difficult for them to simultaneously control and manage many manufacturing systems in real time In accordance with this new trend, the area of factory automation is attempting to apply this new technology for more efficient work and good quality production. To this end, the application of cloud computing and sensor networks in factory automation can be useful

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