Paper Info
Title
Green Power Constrained Scheduling for Sequential Independent Tasks on Identical Parallel Machines
Abstract
Energy consumption is a major aspect to consider when designing large scale high performance computing HPC systems. Integrating renewable energy sources to the power supply of an HPC system is an efficient solution to lower its carbon footprint, but it is one faced by challenges since the power production of most renewable sources is variant while the power consumption of the system varies with the workload. Advanced workload management techniques in combination with powering down idle machines allow to increase the efficiency of this solution. We tackle here the problem of scheduling independent tasks on a multi-machine platform that is exclusively run with green energy. We propose different power constrained scheduling algorithms, and evaluate them through an experimental study on an HPC model that considers the possibility to switch machines on or off.
Year
DOI
Venue
2019
10.1109/ISPA-BDCloud-SustainCom-SocialCom48970.2019.00029
2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)
Keywords
DocType
ISBN
Green power,Constrained scheduling,parallel computing
Conference
978-1-7281-4329-3
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Ayham Kassab100.34
Jean-Marc Nicod29518.10
Laurent Philippe37112.95
Veronika Rehn-sonigo4629.62