Masters Theses

Keywords and Phrases

Directed Acyclic Graphs (DAG); Energy Efficiency; Heterogeneous Processors; ODROID; Real-Time System; RTOS

Abstract

"Increasing number of battery operated devices creates a need for energy-efficient real-time operating system for such devices. Designing a truly energy-efficient system is a multi-staged effort; this thesis consists of three main tasks that address different aspects of energy efficiency of a real-time system (RTS).

The first chapter introduces an energy-efficient algorithm that alternates processor frequency using DVFS to schedule tasks on cores. Speed profiles is calculated for every task that gives information about how long a task would run for and at what processor speed. We pair tasks with similar speed profiles to give us a resultant merged speed profile that can be efficient scheduled on a cluster. Experiments carried out on ODROID-XU3 are compared with a reference approach that provides energy saving of up to 20%.

The second chapter proposes power-aware techniques to segregate a task set over a heterogeneous platform such that the overall energy consumption is minimized. With the help of calculated speed profiles, second contribution of this work feasibly partitions a given task set into individual sets for a cluster based homogeneous platform. Various heuristics are proposed that are compared against a baseline approach with simulation results.

The final chapter of this thesis focuses on the importance of having an underlying energy-efficient operating system. We discuss an energy-efficient way of porting a real-time operating system (RTOS), QP, over TMS320F28377S along with modifications to make the Operating System (OS) consume minimal energy for its operation"--Abstract, page iii.

Advisor(s)

Zawodniok, Maciej Jan, 1975-
Guo, Zhishan

Committee Member(s)

Kimball, Jonathan W.

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Computer Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Summer 2018

Pagination

xi, 51 pages

Note about bibliography

Includes bibliographical references (pages 47-50).

Rights

© 2018 Aamir Aarif Khan, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 11380

Electronic OCLC #

1051222995

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