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中国科学院软件研究所
  
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杨武勇,史美林,姜进磊.一种集成组播代理和操作转换的并发控制方法.软件学报,2004,15(4):497-503
一种集成组播代理和操作转换的并发控制方法
An Operation Transformation Based Concurrency Control Integrating Multicast Agent
投稿时间:2003-04-10  修订日期:2003-09-05
DOI:
中文关键词:  计算机支持的协同工作  可靠组播  并发控制  全复制结构  dOPT(distributed operation transformation)
英文关键词:computer supported cooperative work  reliable multicast  concurrency control  fully-replicated architecture  dOPT (distributed operation transformation)
基金项目:Supported by the National Natural Science Foundation of China under Grant No.60073011 (国家自然科学基金); the National High-Tech Research and Development Plan of China under Grant No.2001AA113150 (国家高技术研究发展计划(863)); the National High-Tech Research of Beijing Muni
作者单位
杨武勇 清华大学,计算机科学与技术系,北京,100084 
史美林 清华大学,计算机科学与技术系,北京,100084 
姜进磊 清华大学,计算机科学与技术系,北京,100084 
摘要点击次数: 3068
全文下载次数: 3027
中文摘要:
      摘 要:现有的分布式实时协作系统多采用操作转换的方法来提供并发控制服务,但是在系统数据量很大时,系统性能不高.为解决这一问题,提出了一种新的并发控制方法madOPT:该方法利用对象所定义的操作的语义进行冲突解析,集数据对象的动态载入、数据传输和操作转换功能为一体.madOPT改进了dOPT(distributed operation transformation)算法在操作转换过程中对操作日志的遍历以提高并发控制效率,并将对象属性作为并发控制的粒度,使之支持对图形、图像对象的并发操作;同时结合组播代理,提高数据传输率,使系统整体性能得到改善.
英文摘要:
      Existing distributed real-time cooperative systems mainly use operation transformation technique to provide concurrency control service. But the performance of a run-time system will be degraded when the system produces a large amount of collaborative data. A novel concurrency control framework named madOPT based on collaborative data objects is then proposed in this paper. madOPT resolves conflicts by utilizing operation semantics of the accessed data objects. In addition, it integrates a data transmission framework with an operation transformation method and allows the running system to load the data objects dynamically. The enhancement of madOPT over dOPT (distributed operation transformation) is that it reduces the number of queries in operation log during an operation transformation. It takes object attributes as the granularity of concurrency control and thus can support graph and image objects. It also adopts multicast agent to improve the efficiency of data distribution as well as the performance of the system.
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