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• W1947347854 abstract "The need for increased performance of mobile device directly conflicts with the desire for longer battery life. Offloading computation to multiple devices is an effective method to reduce energy consumption and enhance performance for mobile applications. Android provides mechanisms for creating mobile applications but lacks a native scheduling system for determining where code should be executed. This paper presents Jade, a system that adds sophisticated energy-aware computation offloading capabilities to Android apps. 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 energy status in a distributed network of Android and non-Android devices. 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 39% of average power consumption for mobile application while improving application performance." @default.
• W1947347854 created "2016-06-24" @default.
• W1947347854 creator A5031776909 @default.
• W1947347854 creator A5061622185 @default.
• W1947347854 date "2015-06-01" @default.
• W1947347854 modified "2023-09-28" @default.
• W1947347854 title "Reducing mobile device energy consumption with computation offloading" @default.
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• W1947347854 doi "https://doi.org/10.1109/snpd.2015.7176219" @default.
• W1947347854 hasPublicationYear "2015" @default.
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