Design and development of hybrid integrated thermal aware job scheduling on computational grid environment
Over the decades people have seen a change from large mainframe computing to commodity, off-the-shelf clusters of high performance computers. Currently data centers have thousands or tens of thousands of high performance computers that provides services as well as computation for tens or hundreds of...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2016
|
| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84995572449&doi=10.1109%2fISMSC.2015.7594020&partnerID=40&md5=8db2e02236ce38aaa576236e4fa67c37 http://eprints.utp.edu.my/30929/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my.utp.eprints.30929 |
|---|---|
| record_format |
eprints |
| spelling |
my.utp.eprints.309292022-03-25T07:43:53Z Design and development of hybrid integrated thermal aware job scheduling on computational grid environment Haruna, A.A. Jung, L.T. Zakaria, N. Over the decades people have seen a change from large mainframe computing to commodity, off-the-shelf clusters of high performance computers. Currently data centers have thousands or tens of thousands of high performance computers that provides services as well as computation for tens or hundreds of thousands of users. Traditional IT challenges such as scheduling, resource allocation and now data centers are dealing with power consumption, it is the most expensive operational cost factor in data centers. Inefficient cooling leads to high temperature and this in turn leads to hardware failure. In this paper a Hybrid Integrated Thermal Aware Scheduling Algorithms are proposed based on baseline approaches. The aim of this paper is to minimize cooling energy consumption in data center labs when assigning jobs for computation. These algorithms avoid high thermal stress situations such as large hotspots and thermal violations events. The results show that the Hybrid Integrated Thermal aware scheduling algorithms (TFCFS and TRR) reduces cooling electricity by 7000KW compared to the baseline job scheduling algorithms, First Come First Serve (FCFS) and Round Robin (RR). © 2015 IEEE. Institute of Electrical and Electronics Engineers Inc. 2016 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84995572449&doi=10.1109%2fISMSC.2015.7594020&partnerID=40&md5=8db2e02236ce38aaa576236e4fa67c37 Haruna, A.A. and Jung, L.T. and Zakaria, N. (2016) Design and development of hybrid integrated thermal aware job scheduling on computational grid environment. In: UNSPECIFIED. http://eprints.utp.edu.my/30929/ |
| institution |
Universiti Teknologi Petronas |
| building |
UTP Resource Centre |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Teknologi Petronas |
| content_source |
UTP Institutional Repository |
| url_provider |
http://eprints.utp.edu.my/ |
| description |
Over the decades people have seen a change from large mainframe computing to commodity, off-the-shelf clusters of high performance computers. Currently data centers have thousands or tens of thousands of high performance computers that provides services as well as computation for tens or hundreds of thousands of users. Traditional IT challenges such as scheduling, resource allocation and now data centers are dealing with power consumption, it is the most expensive operational cost factor in data centers. Inefficient cooling leads to high temperature and this in turn leads to hardware failure. In this paper a Hybrid Integrated Thermal Aware Scheduling Algorithms are proposed based on baseline approaches. The aim of this paper is to minimize cooling energy consumption in data center labs when assigning jobs for computation. These algorithms avoid high thermal stress situations such as large hotspots and thermal violations events. The results show that the Hybrid Integrated Thermal aware scheduling algorithms (TFCFS and TRR) reduces cooling electricity by 7000KW compared to the baseline job scheduling algorithms, First Come First Serve (FCFS) and Round Robin (RR). © 2015 IEEE. |
| format |
Conference or Workshop Item |
| author |
Haruna, A.A. Jung, L.T. Zakaria, N. |
| spellingShingle |
Haruna, A.A. Jung, L.T. Zakaria, N. Design and development of hybrid integrated thermal aware job scheduling on computational grid environment |
| author_facet |
Haruna, A.A. Jung, L.T. Zakaria, N. |
| author_sort |
Haruna, A.A. |
| title |
Design and development of hybrid integrated thermal aware job scheduling on computational grid environment |
| title_short |
Design and development of hybrid integrated thermal aware job scheduling on computational grid environment |
| title_full |
Design and development of hybrid integrated thermal aware job scheduling on computational grid environment |
| title_fullStr |
Design and development of hybrid integrated thermal aware job scheduling on computational grid environment |
| title_full_unstemmed |
Design and development of hybrid integrated thermal aware job scheduling on computational grid environment |
| title_sort |
design and development of hybrid integrated thermal aware job scheduling on computational grid environment |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2016 |
| url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84995572449&doi=10.1109%2fISMSC.2015.7594020&partnerID=40&md5=8db2e02236ce38aaa576236e4fa67c37 http://eprints.utp.edu.my/30929/ |
| _version_ |
1738657176558239744 |
| score |
13.211869 |