Characterizing and controlling program behavior using execution-time variance

Characterizing and controlling program behavior using execution-time variance

Immersive applications, such as computer gaming, computer vision and video codecs, are an important emerging class of applications with QoS requirements that are difficult to characterize and control using traditional methods. This thesis proposes new techniques reliant on execution-time variance to...

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Bibliographic Details
Main Author: Kumar, Tushar
Other Authors: Yalamanchili, Sudhakar
Format: Others
Language:en_US
Published: Georgia Institute of Technology 2016
Subjects:
Profiling
QoS tuning
Adaptive control
Optimal control
Gain scheduling
LQR
Machine learning
System identification
Parameter estimation
Online training
Multimedia
Video
Gaming
Computer vision
Statistical analysis
Best effort
Probabilistic
Program analysis
Linear fit
Dynamic tuning
Online Access:http://hdl.handle.net/1853/55000

Internet

http://hdl.handle.net/1853/55000

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