A cloud server energy consumption measurement system for heterogeneous cloud environments

Author:

Lin WeiweiORCID,Wang Haoyu,Zhang Yufeng,Qi Deyu,Wang James Z.,Chang Victor

Funder

National Natural Science Foundation of China

Science and Technology Planning Project of Guangdong Province

Guangzhou Science and Technology Projects

Nansha Science and Technology Projects

Development of Industry and Information of Guangdong Province

Scientific and Technological Cooperation of Chinese Academy of Sciences in Hubei

Fundamental Research Funds for the Central Universities, SCUT

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference42 articles.

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3. W. Barth. Nagios: system and network monitoring[M]. 2008.

4. A methodology to predict the power consumption of servers in data centres[C]// ACM SIGCOMM, International Conference on Energy-Efficient Computing and NETWORKING;Basmadjian,2011

5. Quality-guaranteed event-sensitive data collection and monitoring in vibration sensor networks;Bhuiyan;IEEE Trans. Ind. Inf.,2017

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