Heterogeneous Resource Scheduling Method Based on Energy Optimization Under Price Constraints in Computing Force Network

Shizhan Lan, Zhenyu Wang, Weichao Kong, Yuxuan Long

2023

Abstract

With the development of Computing Force Network (CFN), more and more resources are deployed in CFN which dynamically provide computing resources according to users’ needs. In the CFN environment, scheduling workflow under deadline constraints is one of the fundamental issues. The number and size of heterogeneous resources in the CFN are gradually increasing, and the required costs are also constantly rising. As a result, it is necessary to consider users’ budget limits while also reducing the energy consumption of end-side devices and edge servers. Aiming at workflow scheduling on time, cost, and energy consumption constraints, a scheduling algorithm that combines with NSGA-II is used to optimize scheduling time, cost, and energy consumption, with price as a soft constraint to ensure that the cost stays within the budget and the schedule is completed before the deadline while minimizing energy consumption. Our algorithm is validated by four typical scientific workflows, and the experimental results show that our algorithm can reduce the average energy consumption by 14.8%, and compared to the GPR-HEFT method, the average energy consumption can be reduced by 20.5%.

Paper Citation

in Harvard Style

Lan S., Wang Z., Kong W. and Long Y. (2023). Heterogeneous Resource Scheduling Method Based on Energy Optimization Under Price Constraints in Computing Force Network. In Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT; ISBN 978-989-758-677-4, SciTePress, pages 194-203. DOI: 10.5220/0012277500003807

in Bibtex Style

@conference{anit23,
author={Shizhan Lan and Zhenyu Wang and Weichao Kong and Yuxuan Long},
title={Heterogeneous Resource Scheduling Method Based on Energy Optimization Under Price Constraints in Computing Force Network},
booktitle={Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT},
year={2023},
pages={194-203},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012277500003807},
isbn={978-989-758-677-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT
TI - Heterogeneous Resource Scheduling Method Based on Energy Optimization Under Price Constraints in Computing Force Network
SN - 978-989-758-677-4
AU - Lan S.
AU - Wang Z.
AU - Kong W.
AU - Long Y.
PY - 2023
SP - 194
EP - 203
DO - 10.5220/0012277500003807
PB - SciTePress