A reconfigurable framework for compositional schedulability and power analysis of hierarchical scheduling systems with frequency scaling

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@article{4816d4c7df0348c199824cfb9d328676,
title = "A reconfigurable framework for compositional schedulability and power analysis of hierarchical scheduling systems with frequency scaling",
keywords = "Hierarchical Scheduling Systems, Schedulability Analysis, Power Consumption, Voltage/Frequency Scaling, Uppaal",
author = "Abdeldjalil Boudjadar and Alexandre David and Kim, {Jin Hyun} and Larsen, {Kim Guldstrand} and Marius Mikučionis and Nyman, {Ulrik Mathias} and Skou, {Arne Joachim}",
year = "2015",
month = "12",
doi = "10.1016/j.scico.2015.10.003",
volume = "113",
pages = "236–260",
journal = "Science of Computer Programming",
issn = "0167-6423",
publisher = "Elsevier BV",
number = "3",

}

RIS

TY - JOUR

T1 - A reconfigurable framework for compositional schedulability and power analysis of hierarchical scheduling systems with frequency scaling

AU - Boudjadar,Abdeldjalil

AU - David,Alexandre

AU - Kim,Jin Hyun

AU - Larsen,Kim Guldstrand

AU - Mikučionis,Marius

AU - Nyman,Ulrik Mathias

AU - Skou,Arne Joachim

PY - 2015/12/1

Y1 - 2015/12/1

KW - Hierarchical Scheduling Systems

KW - Schedulability Analysis

KW - Power Consumption

KW - Voltage/Frequency Scaling

KW - Uppaal

U2 - 10.1016/j.scico.2015.10.003

DO - 10.1016/j.scico.2015.10.003

M3 - Journal article

VL - 113

SP - 236

EP - 260

JO - Science of Computer Programming

T2 - Science of Computer Programming

JF - Science of Computer Programming

SN - 0167-6423

IS - 3

ER -

ID: 222540419