ResourSim – Evaluating the end-user Device usage

Jens Dede; Anna Förster

doi:10.29007/h5kw

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ResourSim – Evaluating the end-user Device usage

9 pages•Published: October 23, 2018

Jens Dede and Anna Förster

Abstract

The optimization of apps on nowadays mobile phones, tablets and smart watches is mainly done with the focus on the energy constraints, i.e., the device battery lifetime. For some applications, this is adverse to their requirements and use cases like for back- ground communication apps without direct user interaction. The framework ResourSim, as proposed in this work, aims on evaluating and optimizing the usage of device resources regarding the requirements of background tasks and the human user. This is achieved by replaying usage traces from real humans and adding arbitrary background job usage pat- terns. Furthermore, it is evaluated, if a statistical battery model is suitable for reflecting the real battery behaviour in ResourSim.

Keyphrases: background service, Battery, Bluetooth, Device usage, human factor, mobile phone, opportunistic network, resources, WiFi

In: Anna Förster, Asanga Udugama, Antonio Virdis and Giovanni Nardini (editors). Proceedings of the 5th International OMNeT++ Community Summit, vol 56, pages 102--110

Links:	https://easychair.org/publications/paper/Z2jk
	https://doi.org/10.29007/h5kw

BibTeX entry

@inproceedings{OMNeT2018:ResourSim_Evaluating_end_user,
  author    = {Jens Dede and Anna F\textbackslash{}"orster},
  title     = {ResourSim -- Evaluating the end-user Device usage},
  booktitle = {Proceedings of the 5th International OMNeT++ Community Summit},
  editor    = {Anna F\textbackslash{}"orster and Asanga Udugama and Antonio Virdis and Giovanni Nardini},
  series    = {EPiC Series in Computing},
  volume    = {56},
  pages     = {102--110},
  year      = {2018},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {https://easychair.org/publications/paper/Z2jk},
  doi       = {10.29007/h5kw}}

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