DocumentCode :
3204869
Title :
Network energy consumption analysis and dormancy mechanism based on ant colony algorithm in cloud computing environment for IOT service and real-time embedded industrial control system
Author :
Shi Shaoling ; Zhang Jing ; Chen Moliang ; Rong Hui ; Cui Yi ; Xiaodong, Fu
Author_Institution :
Comput. Technol. Applic. Key Lab. of Yunnan Province, Kunming Univ. of Sci. & Technol., Kunming, China
fYear :
2015
fDate :
23-25 May 2015
Firstpage :
5568
Lastpage :
5572
Abstract :
At present, cloud computing technology is widely used in IOT(Internet of Things) service and real-time embedded industrial control system energy consumption, problem in the cloud computing has always been the hot topic of industry and academic research. This paper analyzes the energy consumption of each equipment under the dormancy mechanism in the cloud computing environment. Meanwhile, this paper introduces the ant colony algorithm into a basic network energy consumption model, thereby building a new model for the energy consumption optimization. The simulation experiments were implemented on a cloud computing simulation platform CLOUDSIM. In comparison with two algorithms - Min LP and Dijkstra, the model presented in this paper was proved to be effective and more energy-efficient.
Keywords :
Internet of Things; ant colony optimisation; cloud computing; embedded systems; industrial control; power aware computing; power consumption; Dijkstra algorithm; IOT service; Internet of Things service; Min LP algorithm; ant colony algorithm; cloud computing environment; dormancy mechanism; energy consumption optimization; network energy consumption analysis; real-time embedded industrial control system; real-time embedded industrial control system energy consumption; Algorithm design and analysis; Analytical models; Cloud computing; Computational modeling; Computers; Energy consumption; Mathematical model; IOT service; ant colony algorithm; cloud computing; dormancy mechanism; energy consumption analysis; real-time embedded industrial control system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
Type :
conf
DOI :
10.1109/CCDC.2015.7161791
Filename :
7161791
Link To Document :
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