Abstract
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.
Highlights
Data centers for centralized and distributed computing are fast-growing area in the Information technology (IT) community and continue to expand in both size and number (Hussin, Muhammed, & Raja Mahmood, "An adaptive energy allocation for high-performance computing systems using a cyber-physical approach.", 2017; Abbasi, Jonas, Banerjee, Gupta, & Varsamopoulos, 2013; Zomaya & Rizvandi, 2012)
Computer systems consuming vast amount of electrical power emit excessive heat; this often results in system unreliability and performance degradation (e.g., (2014, 2015; Save Energy and Reduce Emissions to Achieve Sustainable Development and Improve Corporate Competitiveness, 2012; Macana, Quijano, & Mojica-Nava, 2011))
In order to sustain a reliable computing environment, some companies (Save Energy and Reduce Emissions to Achieve Sustainable Development and Improve Corporate Competitiveness, 2012) have invested in cooling technologies wherein the heat generated from data centres is drawn back by a cooling generator
Summary
Data centers for centralized and distributed computing are fast-growing area in the IT community and continue to expand in both size and number (Hussin, Muhammed, & Raja Mahmood, "An adaptive energy allocation for high-performance computing systems using a cyber-physical approach.", 2017; Abbasi, Jonas, Banerjee, Gupta, & Varsamopoulos, 2013; Zomaya & Rizvandi, 2012). The complete infrastructure of such data center includes server stacks, sensors and cables are purposely to make resources available for high-computational requirements. Such scenarios consumed massive amounts of electrical energy and have high cooling costs in running the data center. In order to sustain a reliable computing environment, some companies (Save Energy and Reduce Emissions to Achieve Sustainable Development and Improve Corporate Competitiveness, 2012) have invested in cooling technologies wherein the heat generated from data centres is drawn back by a cooling generator. We study adaptive interaction between system performance (i.e., resource utilization) and server room condition (i.e., temperature), aiming for energy efficiency.
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