Author

Ke-Qin Li

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CERLA-SFC: hierarchical orchestration of cost-efficient, reliable and low-latency SFCs in multi-access edge computing

CERLA-SFC is introduced, a hierarchical, multi-objective orchestrator that unifies learning-based placement, topology-aware routing and event-driven resource allocation in a single control loop that maintains near-zero latency violations across all urgency classes while keeping end-to-end delay in the millisecond range.

Yuanfei Xiao, Zhenli He, Xiaolong Zhai et al. · 0 citations

Future Generation Computer Systems

A random forest enhanced particle swarm optimization algorithm (RFPSO) is proposed, which implements intelligent initialization of resource allocation through a random forest model, which improves the efficiency of finding optimal solutions and ensures that critical tasks can prioritize access to higher-performance computing resources.

Longxin Zhang, Li-Li Du, Meng-Ying Guo et al. · 0 citations

Journal of Systems Architecture

A cyclic feedback scheduling optimization strategy is proposed and a reasonable termination condition for the cyclic strategy based on theoretical derivation is designed and Experimental results show that the proposed method can effectively shorten task scheduling time.

Yu-Xin Chen, Wu-Fei Wu, Wei Li et al. · 0 citations