Parameter adaptation for generalized multiframe tasks: schedulability analysis, case study, and applications to self-suspending tasks

DOI10.1007/S11241-017-9279-2zbMath1476.68032OpenAlexW2616868856MaRDI QIDQ1640309

Bo Peng, Nathan Fisher

Publication date: 14 June 2018

Published in: Real-Time Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11241-017-9279-2

zbMATH Keywords

approximation algorithmsmixed-integer linear programminguniprocessor schedulinggeneralized multiframe task modelmultiple-segment self-suspending tasks

Mathematics Subject Classification ID

Mixed integer programming (90C11) Performance evaluation, queueing, and scheduling in the context of computer systems (68M20)

Related Items (2)

Parameter adaptation for generalized multiframe tasks: schedulability analysis, case study, and applications to self-suspending tasks ⋮ Fast and Effective Multiframe-Task Parameter Assignment Via Concave Approximations of Demand

Cites Work

• An optimal resource sharing protocol for generalized multiframe tasks
• Measuring the performance of schedulability tests
• Dynamic- and static-priority scheduling of recurring real-time tasks
• Parameter adaptation for generalized multiframe tasks: schedulability analysis, case study, and applications to self-suspending tasks

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