NDLI: Leveraging Service Clouds for Power and QoS Management for Mobile Devices

Content Provider	IEEE Xplore Digital Library
Author	Yunqi Ye Liangliang Xiao I-Ling Yen Bastani, F.
Copyright Year	2011
Abstract	We propose a QoS and power management (QPM) framework for mobile devices making use of the service cloud. Several techniques for the realization of the QPM framework have been developed. First, we develop a function pool based prediction model to predict the power and QoS behaviors of the task activated by a mobile device. Based on the prediction, we design the cost function and the decision algorithm for selecting the best platforms for executing the services/applications in order to achieve optimal energy saving while satisfying QoS requirements. Several service and data migration policies have been designed for a service to be migrated and executed on a mobile device to achieve power and QoS gains. We apply the QPM framework and associated techniques to a facial recognition case study system to validate our approach. Experimental results show that, in the best case, the QPM framework can achieve 66.7% energy saving for the mobile device and at the same time, reduce the response time by 54.3%.
Starting Page	235
Ending Page	242
File Size	327479
Page Count	8
File Format	PDF
ISBN	9781457708367
ISSN	21596190
DOI	10.1109/CLOUD.2011.55
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data migration Quality of service Predictive models Mobile communication Mobile handsets Servers Quality of service (QoS) Service cloud Power management Mobile device Silicon Data models Service migration
Content Type	Text
Resource Type	Article

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