Abstract
Optimizing the frequency of a homogeneous multi-core platform for a Real Time Operating System (RTOS) increases the power utilization factor. The level of consistency of RTOS is concerning the amount of time taken to complete the execution of the hard real time task. Multi-core platforms need special techniques for process management and power management. DPM is one of the techniques designed to achieve the power efficiency in which all the cores have to operate at the same speed simultaneously which leads to the lack of flexibility for power management. This article, proposes an algorithm, dynamic computational energy aware where computing time of a task is increased based on the requirement in order to achieve exceptional power efficiency by considering multi-low power states.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
He, D., Mueller, W.: A heuristic energy aware approach for hard real time systems on multi-core platforms. Microprocess. Microsyst. 37, 858–870 (2011)
Chen, J.-J., Hsu, H.-R., Kuo, T.-W.: Leakage–aware energy efficient scheduling of real-time tasks in multiprocessor systems. In: Proceedings of the 12th IEEE Real-Time and Embedded Technology and Applications Symposium, 2006, pp. 408–417 (2006)
Kulcsár, G., Erdélyi, F., Hormyák, O.: Multi-objective optimization and heuristic approaches for solving scheduling problems. IEEE Trans. Antennas Propag. 48(11), 127–132 (2000). Department of Information Engineering, University of Miskolc, Hungary
Mostafa, S.M., Kusakabe, S.: Towards reducing energy consumption using inter-process scheduling in preemptive multitasking OS. In: 2016 International Conference on Platform Technology and Service (PlatCon), Jeju, pp. 1–6 (2016). doi:10.1109/PlatCon.2016.7456832
Ning, J., Liu, C., Wang, H., Chen, Q.: Self-balanced motion planning for humanoid robot based on dynamic multitasking mechanism. In: 2016 IEEE 13th International Conference on Networking, Sensing, and Control (ICNSC), Mexico City, pp. 1–6 (2016). doi:10.1109/ICNSC.2016.7478979
Gupta, A., Ong, Y.S., Feng, L.: Multifactorial evolution: toward evolutionary multitasking. IEEE Trans. Evo. Comp. (2015, accepted)
Jafarizadeh, M., Zakerolhosseini, A.: Performance analysis of processing load distribution in camera networks for multi-target tracking. In: 2015 9th Iranian Conference on Machine Vision and Image Processing (MVIP), Tehran, pp. 236–241 (2015). doi:10.1109/IranianMVIP.2015.7397544
Chen, J., Hsu, H., Kuo, T.: Leakage-aware energy-efficient scheduling of real-time tasks in multiprocessor systems. In: Proceedings of the 12th IEEE RTAS, Washington, DC, USA, pp. 408–417 (2006)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Saravanan, S., Shaik, S. (2017). Revamping the Frequency and Computational Time of RTOS Task – Power Dissipation. In: Krishnan, P., Radha Krishna, P., Parida, L. (eds) Distributed Computing and Internet Technology. ICDCIT 2017. Lecture Notes in Computer Science(), vol 10109. Springer, Cham. https://doi.org/10.1007/978-3-319-50472-8_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-50472-8_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-50471-1
Online ISBN: 978-3-319-50472-8
eBook Packages: Computer ScienceComputer Science (R0)