Abstract:
In this paper, we combine a spherical coordinate method and a gradient learning optimization algorithm to solve the dynamic power management (DPM) problem. In our approac...Show MoreMetadata
Abstract:
In this paper, we combine a spherical coordinate method and a gradient learning optimization algorithm to solve the dynamic power management (DPM) problem. In our approach, the DPM is modeled as a constrained SMDP problem with unknown model parameters. By utilizing an augmented Lagrange multiplier method, we provide an online optimization method for the DPM. This method may estimate the gradient of the augmented Lagrange function with respect to the policy parameters and optimize the performance in an online way. The simulation tests show that the method has better convergence property and higher efficiency.
Date of Conference: 14-17 March 2016
Date Added to IEEE Xplore: 26 May 2016
ISBN Information:
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Power Management ,
- Dynamic Management ,
- Online Optimization ,
- Dynamic Power Management ,
- Model Parameters ,
- Optimization Algorithm ,
- Lagrange Multiplier ,
- Coordination Sphere ,
- Augmentation Methods ,
- Unknown Model Parameters ,
- Policy Parameters ,
- Simulation Results ,
- Optimization Problem ,
- Transition State ,
- Power Consumption ,
- Management Policies ,
- Time Distribution ,
- Transition Probabilities ,
- Stochastic Model ,
- Parameter Vector ,
- Online Algorithm ,
- Parametric Methods ,
- Slack Variables ,
- Pareto Distribution ,
- Exponential Distribution ,
- Time Of Occurrence ,
- Sleep Time ,
- Reduction In Power ,
- Idle Period
- Author Keywords
Contents Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Power Management ,
- Dynamic Management ,
- Online Optimization ,
- Dynamic Power Management ,
- Model Parameters ,
- Optimization Algorithm ,
- Lagrange Multiplier ,
- Coordination Sphere ,
- Augmentation Methods ,
- Unknown Model Parameters ,
- Policy Parameters ,
- Simulation Results ,
- Optimization Problem ,
- Transition State ,
- Power Consumption ,
- Management Policies ,
- Time Distribution ,
- Transition Probabilities ,
- Stochastic Model ,
- Parameter Vector ,
- Online Algorithm ,
- Parametric Methods ,
- Slack Variables ,
- Pareto Distribution ,
- Exponential Distribution ,
- Time Of Occurrence ,
- Sleep Time ,
- Reduction In Power ,
- Idle Period
- Author Keywords
