Sensor communication model using cyber-physical system approach for green data center

Energy consumption in distributed computing system gains a lot of attention recently after its processing capacity becomes significant for better business and economic operations. Comprehensive analysis of energy efficiency in high-performance data center for distributed processing requires ability...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Hussin, Masnida, Raja Mahmood, Raja Azlina, Mustaffa, Mas Rina
التنسيق: مقال
اللغة:English
منشور في: International Association of Online Engineering 2019
الوصول للمادة أونلاين:http://psasir.upm.edu.my/id/eprint/82090/1/Sensor%20communication%20model%20using%20cyber-physical%20system%20approach%20for%20green%20data%20center.pdf
http://psasir.upm.edu.my/id/eprint/82090/
https://online-journals.org/index.php/i-jim/article/view/11310
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الوصف
الملخص:Energy consumption in distributed computing system gains a lot of attention recently after its processing capacity becomes significant for better business and economic operations. Comprehensive analysis of energy efficiency in high-performance data center for distributed processing requires ability to monitor a proportion of resource utilization versus energy consumption. In order to gain green data center while sustaining computational performance, a model of energy efficient cyber-physical communication is proposed. A real-time sensor communication is used to monitor heat emitted by processors and room temperature. Specifically, our cyber-physical communication model dynamically identifies processing states in data center while implying a suitable air-conditioning temperature level. The information is then used by administration to fine-tune the room temperature according to the current processing activities. Our automated triggering approach aims to improve edge computing performance with cost-effective energy consumption. Simulation experiments show that our cyber-physical communication achieves better energy consumption and resource utilization compared with other cooling model.