.png){kind=icon}
返回
Kubernetes-Oriented Microservice Placement With Dynamic Resource Allocation
.png){kind=icon}
PRE
AI
DOI：10.1109/TCC.2022.3161900.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Microservices and Kubernetes are widely used in the development and operations of cloud-native applications. By providing automated placement and scaling, Kubernetes has become the main tool for managing microservices. However, existing work and Kubernetes fail to consider the dynamic competition and availability of microservices as well as the problem of shared dependency libraries among multiple microservice instances. To this end, this article proposes an integer nonlinear microservice placement model for Kubernetes with the goal of cost minimization. Specifically, we calculate the number of instances based on microservice availability and construct a model in which the total resource demand of multiple microservice instances exceeds the appropriate proportion of node resources when dynamic resource competition exists and the size of the shared dependency library is less than the node storage capacity. Finally, this article solves the microservice placement model using an improved genetic algorithm. The experimental results demonstrate that higher throughput is obtained with the same costs and that the same throughput is obtained with lower costs.
Keyword:
Microservice placement
dynamic resource competition
microservice availability
shared dependency libraries
heuristic solving
期刊
I
IF:
5
论文数:
1.8K
被引数:
4.3K
机构
引用论文
Smart Healthcare: RL-Based Task Offloading Scheme for Edge-Enable Sensor Networks.png)
IEEE SENSORS JOURNAL
IEEE SENSORS JOURNALIF4.5
PREAI
分享收藏
Joint optimization of service request routing and instance placement in the microservice system
PREAI
分享收藏Application deployment using containers with auto-scaling for microservices in cloud environment
PREAI
分享收藏
查看更多内容