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An Optimal Control Framework for Online Job Scheduling with General Cost Functions
S. Rasoul Etesami
Industrial and Enterprise Systems Engineering
Electrical and Computer Engineering
Coordinated Science Lab
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Dive into the research topics of 'An Optimal Control Framework for Online Job Scheduling with General Cost Functions'. Together they form a unique fingerprint.
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Keyphrases
Cost Function
100%
Optimal Control
100%
Control Framework
100%
General Cost Function
100%
Online Job Scheduling
100%
Nondecreasing
60%
Completion Time
40%
Single Machine
40%
Competitive Algorithm
40%
Unrelated Machines
40%
High Density
20%
Processing Speed
20%
Online Process
20%
Processing Requirements
20%
Convex Function
20%
Competitive Ratio
20%
Online Scheduling Policy
20%
Online Algorithms
20%
Dual Variable
20%
Job Description
20%
Online Fashion
20%
Generalized Integral
20%
Computer Science
Job Scheduling
100%
Optimal Control Framework
100%
Single Machine
66%
Completion Time
66%
Convex Function
33%
Scheduling Policy
33%
Processing Speed
33%
on-line algorithm
33%
Competitive Ratio
33%
Machine Dependent
33%
Mathematics
Optimal Control Theory
100%
Cost Function
100%
Single Machine
28%
Minimizes
14%
Convex Function
14%
Dual Variable
14%
Competitive Ratio
14%