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
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