计算机技术与发展2026，Vol.36Issue(9)：1-8,8.DOI:10.20165/j.cnki.ISSN1673-629X.2026.0179
面向RISC-V集群的指令感知容器调度框架
Instruction-aware Container Scheduling Framework for RISC-V Clusters
摘要
Abstract
As RISC-V processors expand from embedded systems to data centers,their rich instruction set extensions offer new opportuni-ties for specialized acceleration.However,existing cloud-native schedulers typically treat CPUs as homogeneous resources,struggling to identify and leverage instruction-level heterogeneity,which limits potential performance gains.To address this,we propose a container scheduling framework for RISC-V clusters that matches application-level instruction preferences with the extension capabilities of target nodes.The framework comprises two stages:an offline analysis phase to identify runtime hotspots and infer instruction requirements,and an online scheduling phase that integrates these requirements into the Kubernetes scheduling process using native affinity mechanisms,without modifying the core scheduler.We implemented a prototype and evaluated it using representative workloads.The results demon-strate that for large language model inference,scheduling tasks to nodes supporting RVV can accelerate the context construction phase by up to 11 times.These findings indicate that combining the extensibility of the RISC-V ISA with instruction-aware scheduling can signif-icantly enhance system performance and efficiency across various scenarios.关键词
RISC-V/ISA扩展/容器编排/Kubernetes/调度/性能分析Key words
RISC-V/ISA extensions/container orchestration/Kubernetes/scheduling/performance analysis分类
信息技术与安全科学引用本文复制引用
包军,何懿宣,程延博,李美,叶国栋,周睿,周庆国..面向RISC-V集群的指令感知容器调度框架[J].计算机技术与发展,2026,36(9):1-8,8.基金项目
国家重点研发计划(2023YFB4503903) （2023YFB4503903）
