BLAST: Battery Lifetime-constrained Adaptation with Selected Target in Mobile Devices
Mobile devices today contain many power hungry subsystems and execute different applications. Standard power management is not aware of the desired battery lifetime and has no visibility into which applications are executing. However, power consumption is strongly dependent on which applications are...
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European Alliance for Innovation (EAI)
2015-08-01
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Online Access: | http://eudl.eu/doi/10.4108/eai.22-7-2015.2260051 |
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doaj-93aa421a6a9b45ec8268c846a11582ed2020-11-25T01:33:06ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Energy Web2032-944X2015-08-012511010.4108/eai.22-7-2015.2260051BLAST: Battery Lifetime-constrained Adaptation with Selected Target in Mobile DevicesPietro Mercati0Vinay Hanumaiah1Jitendra Kulkarni2Simon Bloch3Tajana Rosing4University of California, San DiegoSamsung Research AmericaSamsung Research AmericaSamsung Research AmericaUniversity of California, San DiegoMobile devices today contain many power hungry subsystems and execute different applications. Standard power management is not aware of the desired battery lifetime and has no visibility into which applications are executing. However, power consumption is strongly dependent on which applications are executed. In this work, we propose a novel power characterization strategy for mobile devices called application-dependent power states (AP-states). Based on that, we formulate a management problem to improve performance under battery lifetime constraints, and we implement the management framework on a real Android device. We call our framework BLAST: Battery Lifetime-constrained Adaptation with Selected Target. The goal of such framework is to maximize performance while letting the device battery to last at least for a certain required lifetime, and only requires the user to select the desired target lifetime. The implementation does not require OS modifications and can be ported and installed to any Android device. We experimentally verify that our strategy can still meets user experience requirements with a selected target battery lifetime extension of at least 25%.http://eudl.eu/doi/10.4108/eai.22-7-2015.2260051mobilesandroidpower managementbatteryuser experience |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Pietro Mercati Vinay Hanumaiah Jitendra Kulkarni Simon Bloch Tajana Rosing |
spellingShingle |
Pietro Mercati Vinay Hanumaiah Jitendra Kulkarni Simon Bloch Tajana Rosing BLAST: Battery Lifetime-constrained Adaptation with Selected Target in Mobile Devices EAI Endorsed Transactions on Energy Web mobiles android power management battery user experience |
author_facet |
Pietro Mercati Vinay Hanumaiah Jitendra Kulkarni Simon Bloch Tajana Rosing |
author_sort |
Pietro Mercati |
title |
BLAST: Battery Lifetime-constrained Adaptation with Selected Target in Mobile Devices |
title_short |
BLAST: Battery Lifetime-constrained Adaptation with Selected Target in Mobile Devices |
title_full |
BLAST: Battery Lifetime-constrained Adaptation with Selected Target in Mobile Devices |
title_fullStr |
BLAST: Battery Lifetime-constrained Adaptation with Selected Target in Mobile Devices |
title_full_unstemmed |
BLAST: Battery Lifetime-constrained Adaptation with Selected Target in Mobile Devices |
title_sort |
blast: battery lifetime-constrained adaptation with selected target in mobile devices |
publisher |
European Alliance for Innovation (EAI) |
series |
EAI Endorsed Transactions on Energy Web |
issn |
2032-944X |
publishDate |
2015-08-01 |
description |
Mobile devices today contain many power hungry subsystems and execute different applications. Standard power management is not aware of the desired battery lifetime and has no visibility into which applications are executing. However, power consumption is strongly dependent on which applications are executed. In this work, we propose a novel power characterization strategy for mobile devices called application-dependent power states (AP-states). Based on that, we formulate a management problem to improve performance under battery lifetime constraints, and we implement the management framework on a real Android device. We call our framework BLAST: Battery Lifetime-constrained Adaptation with Selected Target. The goal of such framework is to maximize performance while letting the device battery to last at least for a certain required lifetime, and only requires the user to select the desired target lifetime. The implementation does not require OS modifications and can be ported and installed to any Android device. We experimentally verify that our strategy can still meets user experience requirements with a selected target battery lifetime extension of at least 25%. |
topic |
mobiles android power management battery user experience |
url |
http://eudl.eu/doi/10.4108/eai.22-7-2015.2260051 |
work_keys_str_mv |
AT pietromercati blastbatterylifetimeconstrainedadaptationwithselectedtargetinmobiledevices AT vinayhanumaiah blastbatterylifetimeconstrainedadaptationwithselectedtargetinmobiledevices AT jitendrakulkarni blastbatterylifetimeconstrainedadaptationwithselectedtargetinmobiledevices AT simonbloch blastbatterylifetimeconstrainedadaptationwithselectedtargetinmobiledevices AT tajanarosing blastbatterylifetimeconstrainedadaptationwithselectedtargetinmobiledevices |
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1725079283140919296 |