Investigación

Publicación (Artículos en revistas científicas)

Maximizing the User Experience with Energy- Based Fair Based Fair Sharing in Battery Limited Mobile Systems

Juárez Martínez, Eduardo; Garrido González, Matías; Pescador del Oso, Fernando
Resumen:
Currently, the usefulness of many mobile systems is largely limited by the battery lifetime. In this paper, energy-based fair queuing (EFQ) is proposed as a pivotal instrument to maximize the user experience in this type of system. Energy-based fair queuing is a novel class of energy-aware scheduling algorithms that support proportional energy use, effective time-constraint compliance and a flexible trade-off between them. The combination of EFQ with lifetime-oriented power management schemes opens the door to maximize the user experience of battery-limited mobile systems. Moreover, it is suggested to merge traditional energy-efficient algorithms with EFQ to further improve the user experience. The proposed EFQ algorithm is implemented in the Linux kernel V3.3 and verified on a testbench based on an open source Linux scheduler simulator with user-specified energy loads. Simulation results show that EFQ is more effective and flexible than the Linux scheduler in maximizing the user experience of energy-limited mobile systems.
Año:
2013
Tipo de publicación:
Artículos en revistas científicas
Revista:
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
Volumen:
59
Número:
3
Páginas:
690-698
Mes:
August
ISSN:
0098-3063
DOI:
10.1109/TCE.2013.6626257
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