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DOI码：10.1109/TCC.2026.3689123

发表刊物：IEEE Transactions on Cloud Computing

关键字：Microservices, Dynamic scheduling, Elastic scalability, Adaptive Awareness, Kubernetes

摘要：With the pervasive adoption of microservices (MS) architecture, resource scheduling has become a pivotal factor in ensuring system performance, stability, and elasticity. However, current MS resource scheduling approaches frequently overlook the complexities inherent in MS architecture, particularly the interdependencies between MS instances and the rapid change of dynamic workload patterns, thus fail to meet multiple but conflict performance objectives simultaneously. To address these challenges, this paper introduces a dynamic MS scheduling model DMSM-ESAAI which integrates elastic scalability and adaptive awareness with Kubernetes' native scheduling and autoscaling pipeline at three levels: the instance and strategy levels of scheduling, and node level scaling. The experimental evaluations conducted on both real Kubernetes clusters and simulation environments demonstrated that the proposed model significantly outperforms traditional methods in terms of throughput, latency, and resource utilization, validating its effectiveness in dynamic MS environments.

论文类型：期刊论文

学科门类：工学

文献类型：J

是否译文：否

发表时间：2026-06-18

收录刊物：SCI