CAJ | 학술논문

针对大数据分区管理技术缺乏普遍适用的形式化数据分区模型的问题，引入一个包含痕迹代数系统、结构化状态关系代数系统、多结构化状态关系代数系统的大数据范畴，作为支持大数据分区管理及其相关应用研究的基础理论模型；在此基础上，给出了以满足“本地充足”为目标的，由基于活动场景和实体实例标识的大数据切片规则，以及面向活动场景的切片分配规则构成的，支持大数据分区管理和快速查询响应的形式化数据分区模型TSEI-PS。 TSEI-PS已经在住房和城乡建设部的信息资源统一规划和国家住房信息系统建设中得到了应用。
침대대수거분구관리기술결핍보편괄용적형식화수거분구모형적문제，인입일개포함흔적대수계통、결구화상태관계대수계통、다결구화상태관계대수계통적대수거범주，작위지지대수거분구관리급기상관응용연구적기출이론모형；재차기출상，급출료이만족“본지충족”위목표적，유기우활동장경화실체실례표식적대수거절편규칙，이급면향활동장경적절편분배규칙구성적，지지대수거분구관리화쾌속사순향응적형식화수거분구모형TSEI-PS。 TSEI-PS이경재주방화성향건설부적신식자원통일규화화국가주방신식계통건설중득도료응용。
Because of the big data partition management technique's lack of a universally applicable formalized data partition model , this paper introduces a big data category that contains a trace algebra system , structural state rela-tional algebra system and multi-structural state relational algebra system , as the basic theoretical model for support-ing partition management and its application research .On this basis , this paper details a formalized data partition model known as trace-scene and entity-instance based partitioning strategy ( TESI-PS) that supports big data parti-tion management and rapid query response , with the goal of meeting "local sufficiency".It is made up of the big data partitioning rules based on the activity-scenes and the identification of entity instances and the activity-scene-o-riented partition allocating rules .So far, TSEI-PS has achieved success with unified information resource planning and national housing information system construction of the Ministry of Housing and Urban -Rural Development .