DocumentCode :
605262
Title :
Power-Aware Cloud Computing Infrastructure for Latency-Sensitive Internet-of-Things Services
Author :
Zhitao Wan ; Ping Wang ; Jing Liu ; Wei Tang
Author_Institution :
Sch. of Electron. Eng. & Comput. Sci., Peking Univ., Beijing, China
fYear :
2013
fDate :
10-12 April 2013
Firstpage :
617
Lastpage :
621
Abstract :
With the developing of Cloud Computing technology more and more latency-sensitive critical operations in Internet of Things are taken over by Cloud infrastructure. Meeting the constraints of real-time and power-aware is important for the deployment of Cloud. While various strategies have been developed to reduce power consumption of hardware components by transitioning them to lower power states or hibernating them when workload is relative low, they fail to work for latency-sensitive applications in virtualization environment. This paper presents a novel paravirtualized power-aware hypervisor as Cloud Computing infrastructure fits for latency-sensitive applications. This hypervisor introduces latency measurement process in guest OS side and CPU Power Modulator in host OS side. It enables the host OS modulate the CPU frequency level to save power with latency guarantee in guest OS side. The benchmark results show that this approach solidly improves Cloud Computing infrastructure power efficiency for latency-sensitive services.
Keywords :
Internet of Things; cloud computing; power aware computing; power consumption; virtual machines; virtualisation; CPU frequency level; CPU power modulator; Internet of things; cloud computing infrastructure power efficiency; cloud computing technology; cloud infrastructure; guest OS side; hardware components; host OS side; latency guarantee; latency measurement process; latency-sensitive Internet-of-things services; latency-sensitive applications; latency-sensitive critical operations; latency-sensitive services; paravirtualized power-aware hypervisor; power consumption reduction; power-aware cloud computing infrastructure; virtualization environment; Cloud computing; Hardware; Modulation; Power demand; Virtual machine monitors; Virtual machining; Virtualization; virtualization; power-aware; latency-sensitive; Cloud Computing; Internet-of-Things;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Modelling and Simulation (UKSim), 2013 UKSim 15th International Conference on
Conference_Location :
Cambridge
Print_ISBN :
978-1-4673-6421-8
Type :
conf
DOI :
10.1109/UKSim.2013.118
Filename :
6527489
Link To Document :
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