Inspired by the first lustrum of the Club Positioning Matrix (CPM) for professional Dutch soccer teams, we model the interaction between soccer teams and their potential fans as a cooperative cost game based on the an...Inspired by the first lustrum of the Club Positioning Matrix (CPM) for professional Dutch soccer teams, we model the interaction between soccer teams and their potential fans as a cooperative cost game based on the annual voluntary sponsorships of fans in order to validate their fan registration in a central database. We introduce a natural cost allocation to the soccer teams, based in a natural manner on the sponsorships of fans. The game theoretic approach is twofold. On the one hand, an appropriate cost game called “fan data cost game” is developed and on the other, it is shown that the former natural cost allocation agrees with the solution concept called “nucleolus” of the fan data cost game.展开更多
为优化数据迁移对多数据源关联查询性能的影响,提出一个多数据源的关联查询优化模型(multi-source association query optimization model,MAQM),使用包装器对需要查询的存储系统进行包装,为用户提供统一的多数据源关联查询接口;提出区...为优化数据迁移对多数据源关联查询性能的影响,提出一个多数据源的关联查询优化模型(multi-source association query optimization model,MAQM),使用包装器对需要查询的存储系统进行包装,为用户提供统一的多数据源关联查询接口;提出区域划分策略,以存储系统的关系表为划分粒度,构建基于多数据源关联查询命令的区域有向图,划分出查询子任务。在区域有向图的基础上,对每一种中间结果的可能传输方向建立数据迁移代价模型,确定查询子任务的执行顺序。对比实验结果表明,MAQM相较于Oracle原生关联查询工具ODCH可以平均提升30%-40%的查询性能。展开更多
文摘Inspired by the first lustrum of the Club Positioning Matrix (CPM) for professional Dutch soccer teams, we model the interaction between soccer teams and their potential fans as a cooperative cost game based on the annual voluntary sponsorships of fans in order to validate their fan registration in a central database. We introduce a natural cost allocation to the soccer teams, based in a natural manner on the sponsorships of fans. The game theoretic approach is twofold. On the one hand, an appropriate cost game called “fan data cost game” is developed and on the other, it is shown that the former natural cost allocation agrees with the solution concept called “nucleolus” of the fan data cost game.
文摘为优化数据迁移对多数据源关联查询性能的影响,提出一个多数据源的关联查询优化模型(multi-source association query optimization model,MAQM),使用包装器对需要查询的存储系统进行包装,为用户提供统一的多数据源关联查询接口;提出区域划分策略,以存储系统的关系表为划分粒度,构建基于多数据源关联查询命令的区域有向图,划分出查询子任务。在区域有向图的基础上,对每一种中间结果的可能传输方向建立数据迁移代价模型,确定查询子任务的执行顺序。对比实验结果表明,MAQM相较于Oracle原生关联查询工具ODCH可以平均提升30%-40%的查询性能。
