A Fully Polynomial-Time Approximation Scheme for Speed Scaling with a Sleep State

We study classical deadline-based preemptive scheduling of jobs in a computing environment equipped with both dynamic speed scaling and sleep state capabilities: Each job is specified by a release time, a deadline and a processing volume, and has to be scheduled on a single, speed-scalable processor...

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Veröffentlicht in:	Algorithmica Jg. 81; H. 9; S. 3725 - 3745
Hauptverfasser:	Antoniadis, Antonios, Huang, Chien-Chung, Ott, Sebastian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 16.09.2019 Springer Nature B.V Springer Verlag
Schlagworte:	Algorithm Analysis and Problem Complexity Algorithms Approximation Complexity Computational Geometry Computer Science Computer Systems Organization and Communication Networks Data Structures and Algorithms Data Structures and Information Theory Energy consumption Lower bounds Mathematical analysis Mathematics of Computing Microprocessors Polynomials Preempting Production scheduling Scaling Schedules Sleep Theory of Computation Approximation algorithms Polynomial-time approximation scheme Energy efficiency
ISSN:	0178-4617, 1432-0541
Online-Zugang:	Volltext
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