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CoSmart: Coordinating Smartphone with Desktop Computer for Joint Energy Savings

  • Ohio State University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Due to the increasing popularity of smartphones, many people are now equipped with both a smartphone and at least one desktop (or laptop) computer. Although the two computing devices are used for similar purposes (e.g., email, web browsing), they are often both kept on for the user's convenience, despite only one device is actively used at a time. Therefore, if one of the two computing devices can be put into an energy-saving mode when the other one is in use, a significant amount of energy can be saved for both the phone and the desktop.In this paper, we propose CoSmart, a light-weight solution that coordinates the smartphone with the desktop computer for joint energy savings. CoSmart dynamically degrades the smartphone to a feature phone with only basic GSM functions when the user is detected to be with the desktop, in order to save both computation and idle energy. The desktop is then put into sleep for energy savings when the user leaves it, while the phone can be turned back to a smartphone, such that the user can continue the operation with seamless task migration. There are several research challenges in the design of CoSmart, which include 1) predicting whether the user would stay long enough with the desktop to offset the migration overheads, and 2) determining the best time point for task migration that can result in the most energy savings. To this end, we propose a novel algorithm for dynamic idle time length prediction, and model joint energy savings as an optimization problem for the most energy savings. A prototype of CoSmart is implemented in Android and evaluated using different real user traces and popular apps. Results show CoSmart can achieve, on average, 61.3% energy savings for the smartphone and 46.7% energy savings for the desktop, which outperforms other baselines by as much as 17.2% to 19.0%.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE International Conference on Autonomic Computing, ICAC 2017
EditorsXiaorui Wang, Hui Lei, Christopher Stewart
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages167-176
Number of pages10
ISBN (Electronic)9781538617618
DOIs
StatePublished - 8 Aug 2017
Externally publishedYes
Event14th IEEE International Conference on Autonomic Computing, ICAC 2017 - Columbus, United States
Duration: 17 Jul 201721 Jul 2017

Publication series

NameProceedings - 2017 IEEE International Conference on Autonomic Computing, ICAC 2017

Conference

Conference14th IEEE International Conference on Autonomic Computing, ICAC 2017
Country/TerritoryUnited States
CityColumbus
Period17/07/1721/07/17

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