SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Energy conservation in heterogeneous server clusters
Proceedings of the tenth ACM SIGPLAN symposium on Principles and practice of parallel programming
PowerNap: eliminating server idle power
Proceedings of the 14th international conference on Architectural support for programming languages and operating systems
IT Professional
Laxity Based Algorithm for Reducing Power Consumption in Distributed Systems
CISIS '10 Proceedings of the 2010 International Conference on Complex, Intelligent and Software Intensive Systems
Algorithms for Reducing the Total Power Consumption in Data Communication-Based Applications
AINA '10 Proceedings of the 2010 24th IEEE International Conference on Advanced Information Networking and Applications
Power Consumption-Based Server Selection Algorithms for Communication-Based Systems
NBIS '10 Proceedings of the 2010 13th International Conference on Network-Based Information Systems
Green HPC: From Nice to Necessity
Computing in Science and Engineering
Advanced Architectures and Execution Models to Support Green Computing
Computing in Science and Engineering
An Integrated Power Consumption Model for Communication and Transaction Based Applications
AINA '11 Proceedings of the 2011 IEEE International Conference on Advanced Information Networking and Applications
An Extended Power Consumption Model for Distributed Applications
AINA '12 Proceedings of the 2012 IEEE 26th International Conference on Advanced Information Networking and Applications
Energy-Aware Distributed Systems for Computation and Storage-Based Applications
CISIS '12 Proceedings of the 2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS)
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In energy-aware information systems, it is critical to discuss how to select a server for each request from clients in order to not only achieve performance objectives but also reduce the total power consumption of a system. In order to design and evaluate the server selection algorithm, it is critical to define the power consumption model of a server to perform processes. In our previous studies, the transmission power consumption (TPC) model of a server is proposed to perform transmission processes. In the TPC model, the electric power consumption of cooling devices is assumed to be constant. Cooling devices like fans consume the electric power in a server. Thus, the total power consumption of a server depends on not only computation and communication devices but also cooling devices. In this paper, we propose the extended TPC (ETPC) model to take into account the power consumption of cooling devices. We validate the TPC and ETPC models by measuring the power consumption and transmission time of a server.