Multi-Objective Optimization for Cost and Latency in Computing Force Network

Shizhan Lan, Shizhan Lan, Siyuan Song, Zhenyu Wang, Yuxuan Long

2023

Abstract

Computing Force Network (CFN) is a new infrastructure based on cloud, edge and end three-layer network architecture. In CFN, tasks exist in the form of micro-services, so how to reduce the cost of user micro-services and ensure the quality of service is a challenging problem. In order to solve the above problems, firstly, we established the hierarchical model, resource limitation model, price model and time delay model of micro-service workflow. Secondly, we modeled the micro-service scheduling problem under the computing network into a multi-objective optimization problem with resource limitation as constraint and micro-service cost and overall time delay as targets. Thirdly, we propose a multi-objective optimization algorithm based on NSGA-II to solve the above problems. The experimental results show that the multi-objective optimization model established in this paper is effective, and the multi-objective optimization algorithm proposed in this paper is superior to the existing algorithms, which can effectively reduce the micro-service delay and cost.

Paper Citation

in Harvard Style

Lan S., Song S., Wang Z. and Long Y. (2023). Multi-Objective Optimization for Cost and Latency 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 291-300. DOI: 10.5220/0012281700003807

in Bibtex Style

@conference{anit23,
author={Shizhan Lan and Siyuan Song and Zhenyu Wang and Yuxuan Long},
title={Multi-Objective Optimization for Cost and Latency in Computing Force Network},
booktitle={Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT},
year={2023},
pages={291-300},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012281700003807},
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 - Multi-Objective Optimization for Cost and Latency in Computing Force Network
SN - 978-989-758-677-4
AU - Lan S.
AU - Song S.
AU - Wang Z.
AU - Long Y.
PY - 2023
SP - 291
EP - 300
DO - 10.5220/0012281700003807
PB - SciTePress