Designing of Power Management requires the reduction of power dissipation in every section and unit of design system. During all these steps of designing process, it incorporates the constraints within the system and its performance. An embedded system inculcates rigid constraints to power consumption and memory of suitable size along with other terms like weight and cost. The basic Power consumption through embedded system based devices is a complex issue. The system always has to extend its battery or may reduce the environmental issues. Basically, it is a pure hardware issue. In latest development, an embedded system within its upgraded technology takes responsibility for all the power management. Embedded systems can be said to come into existence for specific purposes and should be optimized in order to meet all sorts of constraints. By constraint, it is meant to be system performance, timing, power and cost. The designing process of such system therefore involves many optimization techniques. In this paper, we will study and analyze the techniques, strategies, main advantages and disadvantages of applying optimization method of constraint problem in designing of embedded system. Also this will reviews the procedure of characterizing power management in minimizing power consumption.
| Published in | International Journal of Industrial and Manufacturing Systems Engineering (Volume 6, Issue 2) |
| DOI | 10.11648/j.ijimse.20210602.12 |
| Page(s) | 35-38 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Optimization Techniques, Embedded System, Power Management, Power Consumption
| [1] | G. Nemhauser and L. Wolsey, Integer and Combinatorial Optimization, John Wiley, New York, 1988. |
| [2] | P. G. Paulin and J. P. Knight, “Force Directed Scheduling for the Behavior Synthesis of ASICs,” IEEE Transactions on CAD, vol. 8, pp. 661-679, June 1989. |
| [3] | M. Potkonjak and J. M. Rabaey, “Optimizing Resource Utilization Using Transformations,” IEEE Trans. on CAD of Integrated Circuits and Systems, vol. 13, no. 3, pp. 277-292, Mar. 1994. |
| [4] | M. Rim, Y. Fann, and R. Jain, “Global Scheduling with Code-Motions for HighLevel Synthesis Applications,” IEEE Trans. on VLSI Systems, vol. 3, pp. 379–392, Sep. 1995. |
| [5] | F. Vahid and T. D. Givargis, Embedded system Design, A unified Hardware/Software Introduction. John Wiley and Sons, 2002. |
| [6] | Z. Wakabayashi and T. Yoshimura, “A Resource Sharing and Control Synthesis Method for Conditional Branches,” Proc. of International Conference on ComputerAided Design, pp. 62-65, Nov. 1989. |
| [7] | F. Catthoor, F. Franssen, S. Wuytack, L. Nachtergaele, and H. De Man, “Global communication and memory optimizing transformations for low power signal processing systems,” Proc. Int. Wkshp. on Low Power Design, pages 203-208, Apr. 1994. |
| [8] | E. Chung, L. Benini and G. De Micheli, “Dynamic power management for non-stationary service requests", Proc. Design and Test in Europe Conference, pages 77-81, March 1999. |
| [9] | P. Chandrakasan, M. Potkonjak, R. Mehra, J. Rabaey, and R. W. Broderson, “Optimizing power using transformations,” IEEE Trans. Computer-Aided Design, Vol. 14, pages 12-51, Jan. 1995. |
| [10] | L. Benini, G. DeMicheli, E. Macii, M. Poncino, and S. Quer, “System-level power optimization of special purpose applications: The beach solution,” Proc. Symposium on Low Power Electronics and Design, pages 24-29, August 1997. |
| [11] | C.-H. Hwang and A. Wu, “A predictive system shutdown method for energy saving of event-driven computation,” Proc. Int.. Conf. on Computer Aided Design, pages 28-32, November 1997. |
| [12] | J. L. da Silva, F. Catthoor, D. Verkest, and H. De Man, “Power exploration for dynamic data types through virtual memory management refinement,” Proc. Int. Symp. Low Power Electronics and Design, Aug. 1999. |
| [13] | V. Tiwari, S. Malik, and A. Wolfe, “Power analysis of embedded software: A first step towards software power minimization,” Proc. Int. Conf. Computer-Aided Design, Nov. 1994. |
| [14] | H. Mehta, R. M. Owens, and M. J. Irwin, “Some issues in gray code addressing,” Proc. Great Lakes Symposium on VLSI, Ames, IA, USA, pages 178-181, Mar. 1996. |
| [15] | T. Pering, T. Burd, and R. Brodersen, “The simulation and evaluation of dynamic voltage scaling algorithms,” Proc. Int. Symp. Low Power Electronics and Design, Aug. 1998. |
APA Style
Sadaf Qasim. (2021). Analyzing Optimization Strategies and Techniques for Study of Power Management in Embedded System. International Journal of Industrial and Manufacturing Systems Engineering, 6(2), 35-38. https://doi.org/10.11648/j.ijimse.20210602.12
ACS Style
Sadaf Qasim. Analyzing Optimization Strategies and Techniques for Study of Power Management in Embedded System. Int. J. Ind. Manuf. Syst. Eng. 2021, 6(2), 35-38. doi: 10.11648/j.ijimse.20210602.12
AMA Style
Sadaf Qasim. Analyzing Optimization Strategies and Techniques for Study of Power Management in Embedded System. Int J Ind Manuf Syst Eng. 2021;6(2):35-38. doi: 10.11648/j.ijimse.20210602.12
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/j.ijimse.20210602.12,
author = {Sadaf Qasim},
title = {Analyzing Optimization Strategies and Techniques for Study of Power Management in Embedded System},
journal = {International Journal of Industrial and Manufacturing Systems Engineering},
volume = {6},
number = {2},
pages = {35-38},
doi = {10.11648/j.ijimse.20210602.12},
url = {https://doi.org/10.11648/j.ijimse.20210602.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijimse.20210602.12},
abstract = {Designing of Power Management requires the reduction of power dissipation in every section and unit of design system. During all these steps of designing process, it incorporates the constraints within the system and its performance. An embedded system inculcates rigid constraints to power consumption and memory of suitable size along with other terms like weight and cost. The basic Power consumption through embedded system based devices is a complex issue. The system always has to extend its battery or may reduce the environmental issues. Basically, it is a pure hardware issue. In latest development, an embedded system within its upgraded technology takes responsibility for all the power management. Embedded systems can be said to come into existence for specific purposes and should be optimized in order to meet all sorts of constraints. By constraint, it is meant to be system performance, timing, power and cost. The designing process of such system therefore involves many optimization techniques. In this paper, we will study and analyze the techniques, strategies, main advantages and disadvantages of applying optimization method of constraint problem in designing of embedded system. Also this will reviews the procedure of characterizing power management in minimizing power consumption.},
year = {2021}
}
TY - JOUR T1 - Analyzing Optimization Strategies and Techniques for Study of Power Management in Embedded System AU - Sadaf Qasim Y1 - 2021/07/15 PY - 2021 N1 - https://doi.org/10.11648/j.ijimse.20210602.12 DO - 10.11648/j.ijimse.20210602.12 T2 - International Journal of Industrial and Manufacturing Systems Engineering JF - International Journal of Industrial and Manufacturing Systems Engineering JO - International Journal of Industrial and Manufacturing Systems Engineering SP - 35 EP - 38 PB - Science Publishing Group SN - 2575-3142 UR - https://doi.org/10.11648/j.ijimse.20210602.12 AB - Designing of Power Management requires the reduction of power dissipation in every section and unit of design system. During all these steps of designing process, it incorporates the constraints within the system and its performance. An embedded system inculcates rigid constraints to power consumption and memory of suitable size along with other terms like weight and cost. The basic Power consumption through embedded system based devices is a complex issue. The system always has to extend its battery or may reduce the environmental issues. Basically, it is a pure hardware issue. In latest development, an embedded system within its upgraded technology takes responsibility for all the power management. Embedded systems can be said to come into existence for specific purposes and should be optimized in order to meet all sorts of constraints. By constraint, it is meant to be system performance, timing, power and cost. The designing process of such system therefore involves many optimization techniques. In this paper, we will study and analyze the techniques, strategies, main advantages and disadvantages of applying optimization method of constraint problem in designing of embedded system. Also this will reviews the procedure of characterizing power management in minimizing power consumption. VL - 6 IS - 2 ER -
Information
Email: