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An online resource-aware leader election algorithm based on Kubernetes load balancing

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成果类型:
期刊论文
作者:
Xiaoyong Tang;Xiaotian Li*;Ronghui Cao
通讯作者:
Xiaotian Li
作者机构:
[Xiaoyong Tang; Xiaotian Li; Ronghui Cao] College of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China
通讯机构:
[Xiaotian Li] C
College of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China
语种:
英文
关键词:
Container;Kubernetes;Leader election algorithm;Load balancing
期刊:
CCF Transactions on High Performance Computing
ISSN:
2524-4922
年:
2025
页码:
1-10
基金类别:
National Natural Science Foundation of China [62372064]; National Natural Science Foundation of China
机构署名:
本校为第一且通讯机构
院系归属:
计算机与通信工程学院
摘要:
Kubernetes is a well-known distributed system for managing containers. It is essential to elect a leader among the replicas to maintain data consistency and coordinate tasks when deploying certain stateful services in a cluster. There are already many leader election algorithms used in distributed systems, but the cost of implementing these algorithms in a Kubernetes cluster is exorbitantly expensive. The existing leader election algorithms in Kubernetes do not take into account the state of the nodes in the election process for distributing the leader, resulting in unbalanced utilization of t...

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