信息通信技术与政策

信息通信技术与政策

信息通信技术与政策 ›› 2025, Vol. 51 ›› Issue (10): 40-44.doi: 10.12267/j.issn.2096-5931.2025.10.006

专题:先进计算创新应用与生态建设 上一篇    下一篇

面向拟态计算系统的测试评估体系研究*

Research on the testing and evaluation system for mimic computing systems

贺倩1, 金伟1, 徐昊天2   

  1. 1 中国信息通信研究院安全研究所, 北京 100191
    2 之江实验室, 杭州 311121
  • 收稿日期:2025-09-05 出版日期:2025-10-25 发布日期:2025-11-06
  • 作者简介:
    贺倩, 中国信息通信研究院安全研究所网络安全部高级工程师,主要从事网络安全领域的相关研究工作
    金伟, 中国信息通信研究院安全研究所网络安全部工程师,主要从事网络安全、数据基础设施领域的相关研究工作
    徐昊天, 之江实验室高级研究专员,主要从事二进制安全与物联网安全领域的相关研究工作
  • 基金资助:
    *国家重点研发计划(2022YFB4500904)

HE Qian1, JIN Wei1, XU Haotian2   

  1. 1 Security Research Institute, China Academy of Information and Communications Technology, Beijing 100191, China
    2 Zhijiang Lab, Hangzhou 311121, China
  • Received:2025-09-05 Online:2025-10-25 Published:2025-11-06

摘要:

随着各项新型技术的快速发展,日益增长的计算资源需求与当前有限的计算资源和固化的分配模式产生了一定的矛盾,优化计算资源分配、提升计算资源利用效率成为亟待解决的问题。拟态计算系统通过异构资源按需分配、硬件资源池化、动态重构资源等机制能够灵活快速高效地分配计算资源,充分发挥计算资源执行效率,大幅提升系统整体计算能效比。通过梳理测试评估指标、建立测试评估模型、开展应用场景实践进行拟态计算系统测试评估体系的研究,从而明确拟态计算系统功能的先进性以及对于计算效率的提升情况。

关键词: 拟态计算, 拟态计算架构, 测试评估体系

Abstract:

With the rapid development of various new technologies, the growing demand for computing resources has created a certain contradiction between the current limited computing resources and rigid allocation patterns. Optimizing the allocation of computing resources and improving the utilization efficiency of computing resources have become urgent priority problems to be addressed. The mimic computing system can flexibly and efficiently allocate computing resources through mechanisms such as on-demand allocation of heterogeneous resources, hardware resource pooling, and dynamic resource reconfiguration, fully leveraging the execution efficiency of computing resources and significantly enhancing the overall computing efficiency ratio. To clarify the progressiveness of the mimic computing system and its improvement in computing efficiency, this paper conducts research on the testing and evaluation system of the mimic computing system by sorting out testing and evaluation indicators, establishing testing and evaluation models, and carrying out application scenario practices.

Key words: mimic computing system, mimic computing framework, testing and evaluation system

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