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Master's Dissertation
DOI
10.11606/D.45.2015.tde-25062015-161751
Document
Author
Full name
Pedro Luis Furio Raphael
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Paulo, 2015
Supervisor
Committee
Cordeiro, Daniel de Angelis (President)
Bittencourt, Luiz Fernando
Sato, Liria Matsumoto
Title in Portuguese
Escalonamento de tarefas em processadores de velocidade variável em múltiplas organizações
Keywords in Portuguese
Computação verde
Escalonamento em múltiplas organizações
Minimização de energia
Teoria do escalonamento
Abstract in Portuguese
Problemas de escalonamento cuja função objetivo é o consumo de energia tem sido cada vez mais estudados. Neste trabalho, estudamos o problema conhecido, em inglês, por Dynamic Speed Scaling, um problema de escalonamento de tarefas bem definidas em processadores de velocidade variável, cujo consumo de energia é função da velocidade. Além disso, relacionamos este problema com outro conhecido como MOSP, sigla em inglês para Multi-Organization Scheduling Problem. Neste, queremos escalonar tarefas de múltiplas organizações independentes respeitando certas restrições individuais. Provamos, neste trabalho, que este novo problema é NP-Completo e desenvolvemos várias heurísticas eficientes cujos testes experimentais mostram economia de energia significativa.
Title in English
Energy-aware multi-organization scheduling problem
Keywords in English
Green computing
Multi-organization scheduling
Scheduling theory
Abstract in English
We studied, in this work, the problem of scheduling a set of well-defined tasks in a variable speed processor with the objective of minimizing the energy consumption, that is given as a function of the processor's speed, field known as Dynamic Speed Scaling. Also, we relate this problem to another known as MOSP (Multi-Organization Scheduling Problem), problem in which several independent organizations share tasks and resources to achieve a better global solution, but also respecting selfish restrictions. For the combined problem, we show that it is NP-Complete and designed several efficient heuristics that achieves good results in a experimental setup.
 
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Publishing Date
2015-07-28
 
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