The Load Balancing Ant Colony Optimization Based on Cloud Computing

DOI

10.2991/ncce-18.2018.160How to use a DOI?

Keywords

Ant Colony Optimization, task scheduling, cloud computing, load balance.

Abstract

Ant Colony Optimization(ACO) is an intelligence-optimized algorithm Which can solve a large-scale task scheduling problem in cloud computing. However, the basic ant colony algorithm used in large scale task scheduling will easily lead to low distribution efficiency. To solve this problem, this paper analyzes the features of ACO and propose an load balancing ant colony optimization which will boost the utility of ants in the system. After that it use CloudSim, A tools for simulate the proposed algorithm as well as to compare it with the basic ACO. This result suggests that the proposed ACO can reduce the distribution scheduling execution time effectively and ensure the even distribution between nodes so that it can use in large scale scheduling problems.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Junyu Ye
AU  - Lichen Zhang
PY  - 2018/05
DA  - 2018/05
TI  - The Load Balancing Ant Colony Optimization Based on Cloud Computing
BT  - Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
PB  - Atlantis Press
SP  - 953
EP  - 958
SN  - 1951-6851
UR  - https://doi.org/10.2991/ncce-18.2018.160
DO  - 10.2991/ncce-18.2018.160
ID  - Ye2018/05
ER  -