Edge computing has become a key paradigm for supporting low-latency and high-concurrency services deployed with microservice architectures. However, limited device resources, highly dynamic workloads, and complex service dependencies make it difficult for existing autoscaling approaches—often relying on static threshol...
Tian-Yang Zheng, Peng-Fei Yang, Zhe Xu et al.· Proceedings of the Internati...· 0 citations
QMScaler is proposed, a QoS-driven microservice horizontal scaling framework based on Monte Carlo Tree Search (MCTS) that aims to minimize the number of container instances while meeting the QoS requirements of multiple application functions.
Tianyang Zheng, Pengfei Yang, Zhe Xu et al.· Proceedings of the Internati...· 0 citations
Mobile edge computing (MEC) has emerged as a promising paradigm to support latency-sensitive applications by deploying computing and storage resources closer to end users. Service caching at the network edge is an effective approach to further reduce response latency and improve quality of service (QoS). However, the i...
Tianyang Zheng, Pengfei Yang, Kang Shen et al.· IEEE Internet of Things Jour...· 0 citations
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