Extending the battery life of mobile device by computation offloading

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dc.contributor.author Qian, Hao
dc.date.accessioned 2015-11-17T16:04:35Z
dc.date.available 2015-11-17T16:04:35Z
dc.date.issued 2015-12-01 en_US
dc.identifier.uri http://hdl.handle.net/2097/20519
dc.description.abstract The need for increased performance of mobile device directly conflicts with the desire for longer battery life. Offloading computation to resourceful servers is an effective method to reduce energy consumption and enhance performance for mobile applications. Today, most mobile devices have fast wireless link such as 4G and Wi-Fi, making computation offloading a reasonable solution to extend battery life of mobile device. Android provides mechanisms for creating mobile applications but lacks a native scheduling system for determining where code should be executed. We present Jade, a system that adds sophisticated energy-aware computation offloading capabilities to Android applications. Jade monitors device and application status and automatically decides where code should be executed. Jade dynamically adjusts offloading strategy by adapting to workload variation, communication costs, and device status. Jade minimizes the burden on developers to build applications with computation offloading ability by providing easy-to-use Jade API. Evaluation shows that Jade can effectively reduce up to 37% of average power consumption for mobile device while improving application performance. en_US
dc.language.iso en_US en_US
dc.publisher Kansas State University en
dc.subject Mobile computing en_US
dc.subject Cloud computing en_US
dc.subject Computation offloading en_US
dc.subject Energy profiling en_US
dc.title Extending the battery life of mobile device by computation offloading en_US
dc.type Dissertation en_US
dc.description.degree Doctor of Philosophy en_US
dc.description.level Doctoral en_US
dc.description.department Computing and Information Sciences en_US
dc.description.advisor Daniel A. Andresen en_US
dc.subject.umi Computer Science (0984) en_US
dc.date.published 2015 en_US
dc.date.graduationmonth December en_US


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