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
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