Name
Title | ||
|---|---|---|
Power-Aware Cloud Computing Infrastructure for Latency-Sensitive Internet-of-Things Services |
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/UKSim.2013.118 | UKSim |
Keywords | Field | DocType |
virtualization environment,latency-sensitive applications,latency guarantee,internet-of-things,latency-sensitive critical operation,guest os side,cloud computing technology,latency-sensitive internet-of-things services,virtualization,power aware computing,cloud computing infrastructure power,host os side,power consumption,cloud computing,paravirtualized power-aware hypervisor,lower power state,latency measurement process,latency-sensitive services,latency-sensitive application,virtual machines,cloud infrastructure,latency-sensitive service,virtualisation,latency-sensitive critical operations,cloud computing infrastructure,hardware components,cpu frequency level,cloud computing infrastructure power efficiency,power-aware,latency-sensitive,cpu power modulator,power-aware cloud computing infrastructure,internet of things,power consumption reduction,hardware,modulation | Virtualization,Electrical efficiency,Central processing unit,Virtual machine,Computer science,Hypervisor,Computer network,CPU power dissipation,Utility computing,Operating system,Cloud computing | Conference |
ISSN | ISBN | Citations |
2381-4772 | 978-1-4673-6421-8 | 2 |
PageRank | References | Authors |
0.38 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhitao Wan | 1 | 12 | 4.34 |
| Ping Wang | 2 | 2 | 0.38 |
| Jing Liu | 3 | 5 | 1.75 |
| Wei Tang | 4 | 2 | 0.38 |