| 摘要: |
| 本文应用人工智能中的证据理论，提出了一种维护共享数据一致性的自适应算法──ADC算法.该算法能充分利用程序行为具有稳定性的特点，根据应用程序访问共享存储器的行为来调整维护共享数据一致性所采用的策略，能大大提高DSM（distributedsharedmemory）系统的适应能力. |
| 关键词: 分布式共享存储器（DSM） 自适应算法 数据一致性 证据理论 |
| DOI： |
| 分类号: |
| 基金项目:本文研究得国家863高科技项目基金资助. |
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| AN ADAPTIVE ALGORITHM FOR KEEPING DATA CONSISTENCY IN A DSM SYSTEM |
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YI Jianliang,LI Qun,JI Hua,XIE Li
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| Abstract: |
| In this paper, the authors propose an adaptive algorithm named ADC, which based on the mathematical theory of evidence, to keep the consistency of shared data in a DSM system. This algorithm can change its policy in keeping data consistency to adapt the behaviors of application programs, so it can add the adaptability of DSM systems greatly. |
| Key words: Distributed shared memory（DSM） adaptive algorithm data consistency the mathematical theory of evidence |
