CAJ | 학술논문

为了提升在线应用程序进行大数据量统计时的速度，设计独立的基于消息传递接口MPI（Message Passing Interface）的并行数据处理服务模型，与客户应用程序一同建立了柔性数据处理系统。阐述客户程序和并行服务系统的互联结构和工作方式，按照“先判断后处理”的工作思想，客户程序根据运算规模确定是否调用并行服务程序。并行服务程序由监听程序、临时工作程序和一组用于服务的并行程序组成，设计了基于可扩展标记语言的通信协议，实现了并行服务系统与客户程序之间的数据交换。实验比较了串行、MPI并行和Java多线程程序的耗时，结果表明MPI并行程序比其他两种方式具有明显的优势。
위료제승재선응용정서진행대수거량통계시적속도，설계독립적기우소식전체접구MPI（Message Passing Interface）적병행수거처리복무모형，여객호응용정서일동건립료유성수거처리계통。천술객호정서화병행복무계통적호련결구화공작방식，안조“선판단후처리”적공작사상，객호정서근거운산규모학정시부조용병행복무정서。병행복무정서유감은정서、림시공작정서화일조용우복무적병행정서조성，설계료기우가확전표기어언적통신협의，실현료병행복무계통여객호정서지간적수거교환。실험비교료천행、MPI병행화Java다선정정서적모시，결과표명MPI병행정서비기타량충방식구유명현적우세。
To accelerate the statistics of large amount of data processed by online applications,the paper designs a parallel data processing service model which is based on the Message Passing Interface (MPI)technology.The model,together with the client application,forms a flexible data processing system.The paper elucidates the connection structure between the client applications and the parallel service system as well as the operation mode.The working principle is that an operation is executed after the scale of the problem is clear.The client appli-cation invokes the parallel service program only when the problem scale is large enough.The parallel framework consists of a listener,a tem-porary worker and a group of parallel service programs.Communication protocols based on Extensible Markup Language are designed for data exchange between the parallel service system and the client application.Experiments are carried out to compare the sequential program,the MPI program and the Java multi-thread program in their time consumption.Results show that the MPI parallel program is apparently faster than the other two approaches.