CERLA-SFC: hierarchical orchestration of cost-efficient, reliable and low-latency SFCs in multi-access edge computing
Yuanfei Xiao, Zhenli He, Xiaolong Zhai et al.
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AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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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.
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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.
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