Abstract
Both performance and energy cost are important concerns for current data center operators. Traditionally, however, IT and mechanical engineers have separately optimized the cyber and physical aspects of data center operations. This paper considers both of these aspects with the eventual goal of developing performance and power management techniques that operate holistically to control the entire cyber-physical complex of data center installations. Toward this end, we propose a balance of payments model for holistic power and performance management. As an example of coordinated cyber-physical system management, the energy-aware cyber-physical system (EaCPS) uses an application controller on the cyber side to guarantee application performance, and on the physical side, it utilizes electric current-aware capacity management (CACM) to smartly place executables to reduce the energy consumption of each chassis present in a data center rack. A web application, representative of a multi-tier web site, is used to evaluate the performance of the controller on the cyber side, the CACM control on the physical side, and the holistic EaCPS methods in a mid-size instrumented data center. Results indicate that coordinated EaCPS outperforms separate cyber and physical control modules.
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Hui Chen received BS and PhD degrees in computer science from Beijing University of Posts and Telecommunications in 2006 and 2012, respectively. His research interests include cloud computing and distributed networking systems, particularly energy-aware task scheduling in data centers.
Ping Lu received his master’s degree from Southeast University, China. He is the director of the Communication Services R&D Institute of ZTE Corporation, and is in charge of the R&D of cloud computing platform. He has long been engaged in R&D of value-added services.
Pengcheng Xiong is a research assistant in the College of Computing, Georgia Institute of Technology, Atlanta GA. His research interests include cloud computing, data management systems, modeling and management automation for enterprise applications, data center resource management.
Cheng-Zhong Xu received BS and MS in computer science from Nanjing University in 1986 and 1989, respectively. He received his PhD in computer science from the University of Hong Kong in 1993. He is currently a professor in the Department of Electrical and Computer Engineering, the director of the Laboratory of Cloud and Internet Computing at Wayne State University, and the director of the center for cloud computing in SIAT. His research interests are mainly in parallel, distributed, and network systems, particularly in scalable and secure Internet services, cloud computing, energy-aware task scheduling in networked embedded systems, and high-performance cluster and grid computing. He has published more than 150 articles in peer-reviewed journals and conferences in these areas.
Zhiping Wang received his doctoral degree from Southeast University, China. He is in charge of the pre-research of cloud computing, and is a pre-research engineer and senior architect. His research interests include value-added service, cloud computing, and service standardization.
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Chen, H., Lu, P., Xiong, P. et al. Energy-aware application performance management in virtualized data centers. Front. Comput. Sci. 6, 373–387 (2012). https://doi.org/10.1007/s11704-012-2107-x
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DOI: https://doi.org/10.1007/s11704-012-2107-x