We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Energy Saving Approaches for Scheduling on Parallel Systems: A Review

by Sunita Kushwaha, Sanjay Kumar
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 152 - Number 4
Year of Publication: 2016
Authors: Sunita Kushwaha, Sanjay Kumar
10.5120/ijca2016911798

Sunita Kushwaha, Sanjay Kumar . Energy Saving Approaches for Scheduling on Parallel Systems: A Review. International Journal of Computer Applications. 152, 4 ( Oct 2016), 38-42. DOI=10.5120/ijca2016911798

@article{ 10.5120/ijca2016911798,
author = { Sunita Kushwaha, Sanjay Kumar },
title = { Energy Saving Approaches for Scheduling on Parallel Systems: A Review },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2016 },
volume = { 152 },
number = { 4 },
month = { Oct },
year = { 2016 },
issn = { 0975-8887 },
pages = { 38-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume152/number4/26310-2016911798/ },
doi = { 10.5120/ijca2016911798 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:57:18.466603+05:30
%A Sunita Kushwaha
%A Sanjay Kumar
%T Energy Saving Approaches for Scheduling on Parallel Systems: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 152
%N 4
%P 38-42
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Nowadays power consumption has become a major concern in many areas. One of them is scheduling. Scheduling is frequently required in parallel systems (Distributed System, Embedded System and Multi -core System). There are various parallel systems in which some are hand held device such as laptop and some other such as distributed and embedded system that required energy saving for long life, become vital challenge in parallel computing. Scheduling is a method by which task accesses the resources of the parallel system. It is efficient to choose such a method by which one can get optimum schedule length with less energy consumption. In this paper, a survey on energy saving schemes is presented.

References
  1. Jianli Zhuo, Chaitali Chakrabarti, 2005. System Level Energy Efficient Dynamic Task Scheduling, ACM DAC ,Anaheim, California, USA , 13-17.
  2. Santhi Baskaran and P. Thambidurai, 2010. Energy Efficient Real-Time Scheduling in Distributed Systems, IJCSI International Journal of Computer Science Issues, vol. 7, Issue 3, No 4, 35-42.
  3. http://www.tkt.cs.tut.fi/kurssit/9626/S08/Chapters_9_10.pdf.
  4. Andrew S. Tanenbum, Modern operating system, Third edition ,PP-581.
  5. Sunita Kushwaha, Sanjay Kumar, 2013. “Study of Various Multiprocessor Scheduling Methods: A Review”, NCHPCS, Jan 18-19TH, 2013, Berhampur, India, 30-32.
  6. Kyong Hoon Kim, Rajkumar Buyya, Jong Kim, 2005. Power Aware Scheduling of Bag-of-Tasks Applications with Deadline Constraints on DVS-enabled Clusters.
  7. Inki Hong, Darko Kirovski, Gang Qu, Miodrag Potkonjak, Mani B. Srivastava, 1999. Power Optimization of Variable-Voltage Core-Based Systems , IEEE Transactions On Computer-Aided Design Of Integrated Circuits And Systems, Vol. 18, No. 12, December 1999 ,1702-1714.
  8. Aravindh V. Anantaraman, Ali El-Haj Mahmoud, Ravi K. Venkatesan, Yifan Zhu and Frank Mueller, 2005. EDF-DVS Scheduling on the IBM Embedded PowerPC 405LP.
  9. http://www.ti.com/lit/wp/snvy007/snvy007.pdf.
  10. Ming Chao Lee, Yiyu Shi,Yu Guan Chen, Diana Marculescu, Shih Chieh Chang. Efficient Wake Up Scheduling for Multi Core Systems.
  11. Young Choon Lee and Albert Y. Zomaya, 2011. Energy Conscious Scheduling for Distributed Computing Systems under Different Operating Conditions, IEEE Trans Parallel and Distributed Syetem,vol. 22, 1374-1381.
  12. Diana Bautista, Julio Sahuquillo, Houcine Hassan, Salvador Petit, Jos´e Duato, 2000. A Simple Power-Aware Scheduling for Multicore Systems when Running Real-Time Applications, Department of Computer Engineering (DISCA), 2002.
  13. Wan Yeon lee, 2012. Energy-Efficient Scheduling of Periodic Rael-Time on Lightly loaded Multicore Processor, IEEE Trans Parallel and Distributed Syetem,vol. 23, 530-537.
  14. E. Seo, J. Jeong, S. Park, and J. Lee, 2008. Energy Efficient Scheduling of Real-Time Tasks on Multicore Processors, IEEE Trans. Parallel Distributed System, vol. 19, no. 11, 1540-1552.
  15. Santhi Baskaran and P. Thambidurai, 2010. Energy Efficient Real-Time Scheduling in Distributed Systems, India, IJCSI International Journal of Computer Science Issues, Vol. 7, Issue 3, No 4, May 2010.
  16. Keqin Li, 2010. Energy efficient scheduling of parallel tasks on multiprocessor computers, 12 March 2010, Springer Science+Business Media, 223-247.
  17. Lizhe Wangy, Gregor von Laszewskiy, Jai Dayalz and Fugang Wangy. Towards Energy Aware Scheduling for Precedence Constrained Parallel Tasks in a Cluster with DVFS, 1-10.
  18. M. Keating, et al., 2007. Low Power Methodology Manual for System-on-Chip Design, Springer, 2007. chapter 9 and 10.
  19. Sergey Zhuravlev, Juan Carlos Saez, Sergey Blagodurov, Alexandra Fedorova and Manuel Prieto, 2012. Survey of Energy-Cognizant Scheduling Techniques, IEEE Trans Parallel and Distributed 2012, 1-19.
  20. Emanuele Cannella, 2016. Energy efficient semi-partitioned scheduling for embedded multiprocessor streaming systems, Design Automation for Embedded Systems (springer), September 2016, Volume 20, Issue 3, pp 239–266.
  21. Energy calculator [EN].htm, 2013.
Index Terms

Computer Science
Information Sciences

Keywords

DVS SVF AVF Parallel System.

Powered by PhDFocusTM