An energy-efficient periodic resource model for cyber-physical systems By Suzanne Elashri

Cyber-Physical Systems (CPS), especially real-time systems, are subject to time constraints that should be met for the applications to run properly. The schedulability of workloads can be analyzed by determining the supply and demand bound functions (sbf & dbf) when the minimum resource availability (sbf) can satisfy the maximum possible resource demand (dbf) of the workload under a specific scheduling algorithm during a given time interval. Typical real-time systems are insufficient resource reservation by over-provisioning resources when resource supply is always higher than the workload demand. Energy efficiency considerations are required for resource reservations in real-time systems when calculating the optimum processor speed to ensure that the supply of resources is no less than the workload demand during any time intervals. Therefore, we explore an energy-efficient Dynamic Speed Scaling technique for CPS to efficiently estimate resource reservation and efficiently reduce energy consumption.

Name thesis:degree_name

Master of Applied Science (MASc)

Discipline thesis:degree_discipline

Electrical and Computer Engineering

Grantor

University of Ontario Institute of Technology

Year dc:date.issued

2021

Author dc:creator

• Elashri, Suzanne

Advisor dc:contributor.advisor

• Azim, Akramul

• Cyber-physical systems
• Periodic resource model
• Energy consumption
• Delay-tolerant tasks

Language dc:language.iso

en

Handle dc:identifier.uri

https://hdl.handle.net/10155/1412

OAI identifier oai:identifier

oai:ontariotechu.scholaris.ca:10155/1412