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Minimizing Energy Consumption in the Multicore Processors Using Energy Aware Variable Neighborhood Search

Prabhjot Kaur1 , Manoj Agnihotri2

Section:Research Paper, Product Type: Journal Paper
Volume-4 , Issue-8 , Page no. 85-90, Aug-2016

Online published on Aug 31, 2016

Copyright © Prabhjot Kaur, Manoj Agnihotri . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Prabhjot Kaur, Manoj Agnihotri, “Minimizing Energy Consumption in the Multicore Processors Using Energy Aware Variable Neighborhood Search,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.8, pp.85-90, 2016.

MLA Style Citation: Prabhjot Kaur, Manoj Agnihotri "Minimizing Energy Consumption in the Multicore Processors Using Energy Aware Variable Neighborhood Search." International Journal of Computer Sciences and Engineering 4.8 (2016): 85-90.

APA Style Citation: Prabhjot Kaur, Manoj Agnihotri, (2016). Minimizing Energy Consumption in the Multicore Processors Using Energy Aware Variable Neighborhood Search. International Journal of Computer Sciences and Engineering, 4(8), 85-90.

BibTex Style Citation:
@article{Kaur_2016,
author = {Prabhjot Kaur, Manoj Agnihotri},
title = {Minimizing Energy Consumption in the Multicore Processors Using Energy Aware Variable Neighborhood Search},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2016},
volume = {4},
Issue = {8},
month = {8},
year = {2016},
issn = {2347-2693},
pages = {85-90},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1038},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1038
TI - Minimizing Energy Consumption in the Multicore Processors Using Energy Aware Variable Neighborhood Search
T2 - International Journal of Computer Sciences and Engineering
AU - Prabhjot Kaur, Manoj Agnihotri
PY - 2016
DA - 2016/08/31
PB - IJCSE, Indore, INDIA
SP - 85-90
IS - 8
VL - 4
SN - 2347-2693
ER -

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Abstract

Energy consumption is found to be critical task in today’s high performance computing. Consuming the energy in efficient way is still an open area of research. This paper has proved that the use of heuristics like Greedy method, Random method etc doesn’t provide consistent result every time when scheduling process is being run. Greedy can’t guarantee global optimal solution however Random method based upon certain global ability sometime may get best solution sometime may not. The use of variable neighbourhood search algorithm ignore in resistant task allocation for multicore processor. So in order to overcome these issues a variable neighbourhood search based approach is proposed to decrease the energy consumption rate.

Key-Words / Index Term

Green Computing, Energy Consumption, Variable Neighborhood Search

References

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