added summary for EDCL and EDF-WM
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@ -23,7 +23,7 @@
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# *.pdf
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## Generated if empty string is given at "Please type another file name for output:"
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.pdf
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*.pdf
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## Bibliography auxiliary files (bibtex/biblatex/biber):
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*.bbl
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@ -117,7 +117,7 @@ acs-*.bib
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*.sls
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# uncomment this for glossaries-extra (will ignore makeindex's style files!)
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# *.ist
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*.ist
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# gnuplot
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*.gnuplot
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93
Homework_Lesson_11.tex
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93
Homework_Lesson_11.tex
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\documentclass[a4paper, 12pt, english]{article}
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\usepackage[
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headsep = 25pt
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]{geometry}
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\usepackage[utf8]{inputenc}
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\usepackage[T1]{fontenc}
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\usepackage{listings}
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\usepackage{xcolor}
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\usepackage{hyperref}
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\usepackage{multicol}
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\usepackage{setspace}
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\usepackage{graphicx}
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\usepackage[acronym]{glossaries-extra}
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\usepackage{enumitem}
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\setlist{nosep}
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\title{Advanced Operating Systems\\Assignment Week 11}
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\author{Paul Lödige \\ Student ID: 37-229753}
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\makeatletter
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\newcommand*{\toccontents}{\@starttoc{toc}}
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\makeatother
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% acronyms
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\makeglossaries
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\newacronym{EDCL}{EDCL}{Earliest Deadline Critical Laxity}
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\newacronym{EDF}{EDF}{Earliest Deadline First}
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\newacronym{EDFWM}{EDF-WM}{\glsxtrlong{EDF} with Windowconstraint Mitigation}
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\newacronym{EDZL}{EDZL}{Earliest Deadline Zero Laxity}
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\begin{document}
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\maketitle
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\toccontents
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\printglossaries
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\section{Assignment}%
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\label{sec:Assignment}
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Summarize the \gls{EDCL} algorithm and the \gls{EDFWM} algorithm within 400 words, respectively,
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as compared to the traditional \gls{EDF} algorithm.
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\clearpage
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\section{\texorpdfstring{\glsxtrfull{EDCL}}{EDCL}}
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\label{EDCL}
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The \gls{EDCL} algorithm is a derivative of the \gls{EDZL} algorithm which in turn is a modified version of the \gls{EDF} algorithm.
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Because of Dhall's effect the \gls{EDF} algorithm is non-optimal for scheduling in a multiprocessor environment.
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\gls{EDZL} fixes Dhall's effect by promoting any task to the highest priority when its laxity reaches zero.
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In order for this to work the scheduler has to use a precise timer in order to detect the moment when any laxity reaches zero.
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\gls{EDCL} foregoes the need for this precise timer by only checking the laxity at the release time or the completion time of any task.
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At this moment the scheduler calculates whether any unscheduled task has a laxity that is critical.
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The \gls{EDCL} algorithm defines a task's laxity as critical
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if the minimal remaining execution time of the tasks with the closest deadline would not allow the unscheduled task to hold its deadline.
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In this case,
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the task with the critical laxity is promoted to top priority.\\
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\textbf{Pros}
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\begin{itemize}
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\item Dhall's effect does not apply (better than \gls{EDF})
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\item easier to implement than \gls{EDZL} while being comparable in schedulability
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\end{itemize}
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\textbf{Cons}
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\begin{itemize}
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\item non-optimal scheduling (worst-case processor utilization of 50\%)
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\end{itemize}
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\section{\texorpdfstring{\glsxtrfull{EDFWM}}{EDF-WM}}
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\label{EDFWM}
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The \gls{EDFWM} algorithms can be classified as a semi-partitioning scheduling algorithm
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because it schedules most tasks with a fixed processor assignment
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and only partitions as few tasks as possible.
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The algorithm is based on \gls{EDF} scheduling but avoids Dhall's effect.
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The algorithm assigns each new task to a specific processor
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as long as the deadline can be guaranteed by that processor.
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If the runtime of a new task is longer than the available the task is partitioned.
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Each partition is then scheduled on a different processor.
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The deadline of each partition relates to its position in the order of partitions.
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Additionally the \gls{EDFWM} algorithm only allows the scheduler to migrate each task once.
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This cuts down on the number of context switches while only slightly affecting its worst-case utilization.\\
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\textbf{Pros}%
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\begin{itemize}
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\item Dhall's effect does not apply (better than \gls{EDF})
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\item less context switching than other semi-partitioning scheduling algorithms
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\end{itemize}
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\textbf{Cons}%
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\begin{itemize}
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\item non-optimal scheduling
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\end{itemize}
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\end{document}
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