Modeling Smartphone Power
A Master of Science thesis in Computer Engineering by Sameer Allan Alawnah entitled, "Modeling Smartphone Power," submitted in June 2013. Thesis advisor is Dr. Assim Sagahyroon. Available are both soft and hard copies of the thesis.
Saved in:
| Main Author: | |
|---|---|
| Format: | doctoralThesis |
| Published: |
2013
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/11073/5893 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1864513434516717568 |
|---|---|
| author | Alawnah, Sameer Allan |
| author_facet | Alawnah, Sameer Allan |
| author_role | author |
| dc.contributor.none.fl_str_mv | Sagahyroon, Assim |
| dc.creator.none.fl_str_mv | Alawnah, Sameer Allan |
| dc.date.none.fl_str_mv | 2013-09-11T05:52:23Z 2013-09-11T05:52:23Z 2013-06 |
| dc.format.none.fl_str_mv | application/pdf application/pdf |
| dc.identifier.none.fl_str_mv | 35.232-2013.20 http://hdl.handle.net/11073/5893 |
| dc.language.none.fl_str_mv | en_US |
| dc.subject.none.fl_str_mv | power modeling regression neural networks android Smartphones Cell phones Batteries Cell phones Design and construction |
| dc.title.none.fl_str_mv | Modeling Smartphone Power |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/doctoralThesis |
| description | A Master of Science thesis in Computer Engineering by Sameer Allan Alawnah entitled, "Modeling Smartphone Power," submitted in June 2013. Thesis advisor is Dr. Assim Sagahyroon. Available are both soft and hard copies of the thesis. |
| format | doctoralThesis |
| id | aus_e6e60b92e940cb9ca9df0e94e3ca9573 |
| identifier_str_mv | 35.232-2013.20 |
| language_invalid_str_mv | en_US |
| network_acronym_str | aus |
| network_name_str | aus |
| oai_identifier_str | oai:repository.aus.edu:11073/5893 |
| publishDate | 2013 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Modeling Smartphone PowerAlawnah, Sameer Allanpower modelingregressionneural networksandroidSmartphonesCell phonesBatteriesCell phonesDesign and constructionA Master of Science thesis in Computer Engineering by Sameer Allan Alawnah entitled, "Modeling Smartphone Power," submitted in June 2013. Thesis advisor is Dr. Assim Sagahyroon. Available are both soft and hard copies of the thesis.Battery technology has not advanced rapidly enough to keep pace with the growing energy demands of today's portable electronics. Leading this critical need for energy are smartphone devices which are being deployed and adopted at an increasing rate. Developing sound energy management techniques for these devices requires a good understanding of where and how battery energy is being utilized. Power consumption modeling is therefore crucial for understanding the inner working of these devices and for developing energy-efficient software to run on them. In this work, we attempt to develop power models for Android-based smartphones. A logger application is developed to monitor users' activity and collect data related to this activity. We then utilize regression techniques and neural networks to develop power models that relate power consumption to usage behavior. We demonstrate the feasibility of applying the two approaches and provide a detailed comparison between them.College of EngineeringDepartment of Computer Science and EngineeringMaster of Science in Computer Engineering (MSCoE)Sagahyroon, Assim2013-09-11T05:52:23Z2013-09-11T05:52:23Z2013-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfapplication/pdf35.232-2013.20http://hdl.handle.net/11073/5893en_USoai:repository.aus.edu:11073/58932025-06-26T12:33:10Z |
| spellingShingle | Modeling Smartphone Power Alawnah, Sameer Allan power modeling regression neural networks android Smartphones Cell phones Batteries Cell phones Design and construction |
| status_str | publishedVersion |
| title | Modeling Smartphone Power |
| title_full | Modeling Smartphone Power |
| title_fullStr | Modeling Smartphone Power |
| title_full_unstemmed | Modeling Smartphone Power |
| title_short | Modeling Smartphone Power |
| title_sort | Modeling Smartphone Power |
| topic | power modeling regression neural networks android Smartphones Cell phones Batteries Cell phones Design and construction |
| url | http://hdl.handle.net/11073/5893 |