Multi-Objective Optimization of Container-Based Microservice Scheduling in Edge Computing
- Department of Computer Science and Engineering
East China University of Science and Technology, Shanghai, China
{gsfan,yhq}@ecust.edu.cn, chanliang china@163.com - Shanghai Key Laboratory of Computer Software Evaluating and Testing
Shanghai,China
Abstract
Edge computing provides physical resources closer to end users, becoming a good complement to cloud computing. With the rapid development of container technology and microservice architecture, container orchestration has become a hot issue. However, the container-based microservice scheduling problem in edge computing is still urgent to be solved. In this paper, we first formulate the containerbased microservice scheduling as a multi-objective optimization problem, aiming to optimize network latency among microservices, reliability of microservice applications and load balancing of the cluster. We further propose a latency, reliability and load balancing aware scheduling (LRLBAS) algorithm to determine the container-based microservice deployment in edge computing. Our proposed algorithm is based on particle swarm optimization (PSO). In addition, we give a handling strategy to separate the fitness function from constraints, so that each particle has two fitness values. In the proposed algorithm, a new particle comparison criterion is introduced and a certain proportion of infeasible particles are reserved adaptively. Extensive simulation experiments are conducted to demonstrate the effectiveness and efficiency of the proposed algorithm compared with other related algorithms.
Key words
edge computing, microservice, container orchestration, multi-objective optimization, particle swarm optimization
Digital Object Identifier (DOI)
https://doi.org/10.2298/CSIS200229041F
Publication information
Volume 18, Issue 1 (January 2021)
Year of Publication: 2021
ISSN: 2406-1018 (Online)
Publisher: ComSIS Consortium
Full text
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How to cite
Fan, G., Chen, L., Yu, H., Qi, W.: Multi-Objective Optimization of Container-Based Microservice Scheduling in Edge Computing. Computer Science and Information Systems, Vol. 18, No. 1, 23–42. (2021), https://doi.org/10.2298/CSIS200229041F