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Kling, Peter: Energy-efficient scheduling algorithms. 2014
Inhalt
List of Theorems
List of Figures
List of Listings
Preface
Introduction
A Primer to Speed Scaling
Thesis Overview
Preliminaries
Basics: Approximation & Online Algorithms
The First Speed Scaling Model
Model Notions
Optimal Offline Algorithm & Optimal Available
Survey of Relevant Speed Scaling Results
Speed Scaling with respect to Deadlines
Speed Scaling with respect to Response Time Plus Energy
Profitable Deadline Scheduling
Related Work & Contribution
Model & Preliminaries
Convex Programming Formulation
Power Consumption in Atomic Intervals
An Online Greedy Primal-Dual Algorithm
Analysis
Structure of an Optimal Infeasible Solution
A Job-centric Formulation of the Dual Function
Balancing the Different Cost Components
Deriving the Tight Competitive Ratio
Conclusion & Outlook
Slow Down & Sleep for Profit
Related Work & Contribution
Model & Preliminaries
Lower Bound for Rejection-Oblivious Algorithms
Algorithm & Analysis
Bounding the Different Cost Portions
Putting it All Together.
The Speed-Bounded Case
Conclusion & Outlook
Trading Energy for Responsiveness
Related Work & Contribution
Model & Preliminaries
Overview
Structural Properties via Primal-Dual Formulation
Computing an Optimal Schedule
Affected Jobs
Affection Tree
Algorithm Description
Correctness of the Algorithm
The Subroutines
Putting it All Together
The Running Time
Conclusion & Outlook
Sharing Scalable Resources
Related Work & Contribution
Model & Notation
Formal Model Description
Graphical Representation
Preliminaries
Structural Properties
Warm-up: Approximating via Round Robin
Problem Complexity
Analysis of Balanced Schedules
Lower Bounds for Optimal Schedules
Deriving a (2-1/m)-Approximation
Tight Approximation via a Greedy Algorithm
Conclusion & Outlook
Bibliography
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