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Utility-Based Smartphone Energy Consumption Optimization for Cloud-Based and On-Device Application Uses

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9512)

Abstract

As the use of smartphones and its applications continue their rapid growth, prolonging the smartphone battery lifetime has become one of the main concerns for smartphone users if re-charging is not possible. In this paper, we show that, by taking into account the user preferences, the energy consumption of smartphones can be adjusted to maximize the user utility. The user preferences are reflected through the type of application uses, the perceived costs of energy allocation for the different types of applications, and the perceived value of energy remaining in the battery of the smartphone. In particular, we optimize the energy consumption of smartphones through the use of a utility-based energy consumption optimization model, which we developed. We demonstrate the workings of our model by applying it to a simple scenario, in which we vary the perceived value of energy remaining in the smartphone battery and the user’s perceived costs for energy consumed by the two types of application uses: cloud-based application uses and on-device application uses. Our results show that, by letting users express their preferences, users can allocate the remaining smartphone energy such that it maximizes their utilities.

Keywords

Smartphones Apps Energy consumption optimization Utility function Usage behavior Cloud computing Off-loading Application classification Energy allocation 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Technology Management, Economics and Policy Program College of EngineeringSeoul National UniversitySeoulSouth Korea

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