scholarly journals Collaborative power management in WPANs using rational controllers: a case study

2005 ◽  
Vol 2005 (5) ◽  
pp. 491-501 ◽  
Author(s):  
J. Flinn ◽  
P. T. Kabamba ◽  
W.-C. Lin ◽  
S. M. Meerkov ◽  
C. Y. Tang
Keyword(s):  
Power Consumption ◽  
Power Management ◽  
Power Saving ◽  
Disk Drive ◽  
Management Technique ◽  
Personal Area Networks ◽  
Wireless Personal Area Networks ◽  
Power Conservation ◽  
Rational Controllers

This paper addresses the issue of battery power conservation in wireless personal area networks (WPANs). Specifically, we consider a WPAN, which contains a processor and a disk drive, and develop a collaborative power management technique, which minimizes the total WPAN power consumption. Our approach is based on the theory of rational behavior, which leads to a collaborative architecture where devices in the WPAN are equipped with cooperating rational controllers (RCs). Using, as an example, the Intel 80200 XScale processor and the Hitachi 1 GB microdrive, we show that collaborative power management using RCs offers substantial power saving compared to selfish operation, where each device attempts to minimize only its own power consumption.

scholarly journals Power Management of Server Farms

2014 ◽  
Vol 492 ◽  
pp. 453-459 ◽  
Author(s):  
Giuseppe Iazeolla ◽  
Alessandra Pieroni
Keyword(s):  
Quality Of Service ◽  
Power Consumption ◽  
Power Management ◽  
Management Strategies ◽  
Power Saving ◽  
Performance Per Watt ◽  
The World ◽  
Small Set ◽  
The Universe

The power management of server farms (Sf) is becoming a relevant problem in economical terms. Server farms totalize millions of servers all over the world that need to be electrically powered. Research is thus expected to investigate into methods to reduce Sf power consumption. However, saving power may turn into waste of performance (high response_times), in other words, into waste of Sf Quality of Service (QoS). By use of a Sfmodel, this paper investigates Sf power management strategies that look at compromises between power-saving and QoS. Various optimizing Sf power management policies are studied combined with the effects of job queueing disciplines. The (policy, discipline) pairs, or strategies, that optimize the Sf power consumption (minimum absorbed Watts), the Sf performance (minimum response_time), and the Sf performance-per-Watt (minimum response_time-per-Watt) are identified.By use of the model, the work the server-manager has to do to direct hisSf is greatly simplified, since the universe of all possible (strategies he needs to choose from is drastically reduced to a very small set of most significant strategies.

Baseband Receiver Design for the MBOA Ultra Wideband Wireless Personal Area Networks

2009 ◽  
Vol E92-B (1) ◽  
pp. 143-149
Author(s):  
Sen-Hung WANG ◽  
Chih-Peng LI ◽  
Chao-Tang YU ◽  
Jian-Ming HUANG ◽  
Chua-Chin WANG
Keyword(s):  
Ultra Wideband ◽  
Personal Area Networks ◽  
Receiver Design ◽  
Wireless Personal Area Networks ◽  
Baseband Receiver

scholarly journals Efficient Prediction of Network Traffic for Real-Time Applications

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Muhammad Faisal Iqbal ◽  
Muhammad Zahid ◽  
Durdana Habib ◽  
Lizy Kurian John
Keyword(s):  
Power Consumption ◽  
Real Time ◽  
Power Management ◽  
Dynamic Resource Allocation ◽  
Computation Complexity ◽  
Real Time Traffic ◽  
Double Exponential ◽  
Efficient Prediction ◽  
Dynamic Resource ◽  
Double Exponential Smoothing

Accurate real-time traffic prediction is required in many networking applications like dynamic resource allocation and power management. This paper explores a number of predictors and searches for a predictor which has high accuracy and low computation complexity and power consumption. Many predictors from three different classes, including classic time series, artificial neural networks, and wavelet transform-based predictors, are compared. These predictors are evaluated using real network traces. Comparison of accuracy and cost, both in terms of computation complexity and power consumption, is presented. It is observed that a double exponential smoothing predictor provides a reasonable tradeoff between performance and cost overhead.

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