Abstract
In this paper, a new dynamic cooling approach in distributed network environment is introduced to reduce energy usage by computers. In existing system cooling mechanism works in binary approach. It activates the cooling device whichever it senses heat. Otherwise the cooling is deactivated. A busy processor will generate a remarkable amount of heat. We concentrate on making the cooling process a dynamic one based on the requirement. We propose regulated cooling process for different degree of heating.
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References
Miozzo, M., Giupponi, L., Rossi, M., Dini, P.: Switch-on/off policies for energy harvesting small cells through distributed Q-learning. In: 2017 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), San Francisco, CA, pp. 1–6 (2017)
Cristani, M., Tomazzoli, C., Karafili, E., Olivieri, F.: Defeasible reasoning about electric consumptions. In: 2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA), Crans-Montana, pp. 885–892 (2016)
He, J., Chen, L., Xu, F., Min, Y.: Optimal planning of clean heating with renewable energy sources. In: 2017 IEEE International Conference on Energy Internet (ICEI), Beijing, China, pp. 1–6 (2017)
Faranda, R., Hafezi, H., Shafizadeh, Z., Fontana, A.: Thermal load management: experimental investigation of voltage variation effect on loads behavior. In: 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I and CPS Europe), Milan, pp. 1–5 (2017)
Liu, Y.J., Lin, C.W., Chen, S.I.: Analysis of load electricity consumption on a low-voltage distribution system with community energy storages. In: 2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia (IFEEC 2017-ECCE, Asia), Kaohsiung, pp. 2048–2052 (2017)
Maroulis, S., Zacheilas, N., Kalogeraki, V.: ExpREsS: EneRgy efficient scheduling of mixed stream and batch processing workloads. In: 2017 IEEE International Conference on Autonomic Computing (ICAC), Columbus, OH, USA, pp. 27–32 (2017)
Bober, D., Kapron, H.: Distributed system for data acquisition and management of electric energy consumption. In: 2009 IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, Rende, pp. 192–195 (2009)
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Mallik, K.G., Guha, S.K. (2019). A Regulated Computer Cooling Method: An Eco-Friendly Approach. In: Yadav, N., Yadav, A., Bansal, J., Deep, K., Kim, J. (eds) Harmony Search and Nature Inspired Optimization Algorithms. Advances in Intelligent Systems and Computing, vol 741. Springer, Singapore. https://doi.org/10.1007/978-981-13-0761-4_57
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DOI: https://doi.org/10.1007/978-981-13-0761-4_57
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