Green computing: efficient energy management of multiprocessor streaming applications via model checking

W. Ahmad

Research output: ThesisPhD Thesis - Research UT, graduation UT

Abstract

Streaming applications such as virtual reality, video conferencing, and face detection, impose high demands on a system’s performance and battery life. With the advancement in mobile computing, these applications are increasingly implemented on battery-constrained platforms, such as gaming consoles, satellites, cell phones, automobiles and healthcare systems. Smart scheduling techniques of tasks on processing elements are crucial for self energy-supporting systems where energy harvesting and consumption is kept in balance over the lifetime of the system. These scheduling techniques also help system designers to explore implementation alternatives while maintaining adherence to the performance requirements and battery constraints of a system.
LanguageEnglish
Awarding Institution
  • University of Twente
Supervisors/Advisors
  • van de Pol, Jan Cornelis, Supervisor
  • Stoelinga, Mariëlle Ida Antoinette, Advisor
Award date13 Apr 2017
Place of PublicationEnschede
Print ISBNs978-90-365-4290-6
DOIs
StatePublished - 13 Apr 2017

Fingerprint

Energy management
Model checking
Scheduling
Video conferencing
Mobile computing
Energy harvesting
Face recognition
Virtual reality
Automobiles
Energy utilization
Satellites
Processing
Green computing

Keywords

  • IR-104440
  • METIS-322003

Cite this

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Green computing: efficient energy management of multiprocessor streaming applications via model checking. / Ahmad, W.

Enschede, 2017. 228 p.

Research output: ThesisPhD Thesis - Research UT, graduation UT

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