Utvidet returrett til 31. januar 2025

Energy Autonomy of Real-Time Systems

Om Energy Autonomy of Real-Time Systems

Energy Autonomy of Real-Time Systems addresses foundations and findings in real-time scheduling and processor activity management for energy harvesting embedded systems, serving as a textbook for courses on the topic in master programs, and as a reference for computer scientists and engineers involved in the design or development of autonomous cyber-physical systems which require up-to-date solutions. Develops theoretical models for energy-harvesting real-time systems, including theorems and schedulability analysis Contains scheduling algorithms that are rigorously derived from the theory, based on both real-time and energy constraintsCovers future, potential applications centered on the use of self-powered sensor technologiesProvides the methodology for developing autonomous real-time systems based on energy harvesting

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  • Språk:
  • Engelsk
  • ISBN:
  • 9781785481253
  • Bindende:
  • Hardback
  • Sider:
  • 142
  • Utgitt:
  • 22. november 2016
  • Dimensjoner:
  • 236x161x13 mm.
  • Vekt:
  • 384 g.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 19. desember 2024

Beskrivelse av Energy Autonomy of Real-Time Systems

Energy Autonomy of Real-Time Systems addresses foundations and findings in real-time scheduling and processor activity management for energy harvesting embedded systems, serving as a textbook for courses on the topic in master programs, and as a reference for computer scientists and engineers involved in the design or development of autonomous cyber-physical systems which require up-to-date solutions.

Develops theoretical models for energy-harvesting real-time systems, including theorems and schedulability analysis Contains scheduling algorithms that are rigorously derived from the theory, based on both real-time and energy constraintsCovers future, potential applications centered on the use of self-powered sensor technologiesProvides the methodology for developing autonomous real-time systems based on energy harvesting

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