IDEAS home Printed from https://ideas.repec.org/p/snv/dp2009/2015125.html
   My bibliography  Save this paper

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

Author

Listed:
  • Baseem Al-athwari

    () (TEMEP, College of Engineering, Seoul National University)

  • Jorn Altmann

    () (TEMEP, College of Engineering, Seoul National University)

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.

Suggested Citation

  • Baseem Al-athwari & Jorn Altmann, 2015. "Utility-Based Smartphone Energy Consumption Optimization for Cloud-Based and On-Device Application Uses," TEMEP Discussion Papers 2015125, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Nov 2015.
  • Handle: RePEc:snv:dp2009:2015125
    as

    Download full text from publisher

    File URL: ftp://147.46.237.98/DP-125.pdf
    File Function: First version, 2015
    Download Restriction: no

    References listed on IDEAS

    as
    1. Netsanet Haile & Jorn Altmann, 2015. "Value Creation in Software Service Platforms," TEMEP Discussion Papers 2015123, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Sep 2015.
    2. Netsanet Haile & Jorn Altmann, 2013. "Estimating the Value Obtained from Using a Software Service Platform," TEMEP Discussion Papers 2013105, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Aug 2013.
    3. Netsanet Haile & Jörn Altmann, 2016. "Structural analysis of value creation in software service platforms," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(2), pages 129-142, May.
    4. Jorn Altmann & Juthasit Rohitratana, 2009. "Software Resource Management Considering the Interrelation between Explicit Cost, Energy Consumption, and Implicit Cost: A Decision Support Model for IT Managers," TEMEP Discussion Papers 200936, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Nov 2009.
    5. Juseuk Kim & Lynn Ilon & Jorn Altmann, 2013. "Adapting Smartphones as Learning Technology in a Korean University," TEMEP Discussion Papers 2013101, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Feb 2013.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Smartphones; Apps; Energy Consumption Optimization; Utility Function; Usage Behavior; Cloud Computing; Off-Loading; Application Alassification; Energy Allocation.;

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:snv:dp2009:2015125. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jorn Altmann). General contact details of provider: http://edirc.repec.org/data/tesnukr.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.