随着管理信息化系统中业务数据量的日益增加,使得系统性能下降和物理磁盘空间的增长。本文介绍了一种数据生命周期管理解决方案ADLM(Academia Resource Planning System Data Lifecycle Manage,简称ADLM),在不增加硬件成本情况下,使用...随着管理信息化系统中业务数据量的日益增加,使得系统性能下降和物理磁盘空间的增长。本文介绍了一种数据生命周期管理解决方案ADLM(Academia Resource Planning System Data Lifecycle Manage,简称ADLM),在不增加硬件成本情况下,使用程序控制方法,达到系统性能优化和实现历史数据归档保存的目的。主要解决了具有时间周期特性的业务数据的分类管理、在线归档、离线存储等问题,对业务数据归档策略、分级存储实现和归档数据查询等关键问题进行了分析,最后通过实际应用,证明本技术方案可以方便快捷地实现业务处理性能的提升和对磁盘空间使用需求无限增长的有效控制。展开更多
Agriculture is not only influenced by climate change,but it is also one of the significant contributors of CO_(2) emission.Understanding CO_(2) emission and macroeconomic variables is critical to solving the challenge...Agriculture is not only influenced by climate change,but it is also one of the significant contributors of CO_(2) emission.Understanding CO_(2) emission and macroeconomic variables is critical to solving the challenges and threats faced by Kenya’s agriculture and environment.This study used the Environmental Kuznets Curve(EKC)hypothesis and the autoregressive distribution lag model(ADLM)to analyze the relationships of CO_(2) emission with agricultural output,government direct investment,trade openness,and inflation rate in Kenya from 1983 to 2019.The study found that there exists a positive(direct)relationship between CO_(2) emission and foreign direct investment in the long run in Kenya.Additionally,CO_(2) emission and trade openness have a negative(indirect)and statistically significant relationship after the error correction term adjustment in the long run.Moreover,the relationship between CO_(2) emission and agricultural output is positive(direct)and statistically significant in the long run.There is a positive(direct)and statistically insignificant relationship between CO_(2) emission and inflation rate in the short run.Notably,the EKC hypothesis indicated that the Kenya’s economy is still on the environmental degradation trade-off through the gradual increase of both CO_(2) emission and agricultural output.Our results are important to Kenya’s economy because the derived insights will assist in relevant departments to formulate sustainable strategies to minimize environmental degradation.展开更多
文摘随着管理信息化系统中业务数据量的日益增加,使得系统性能下降和物理磁盘空间的增长。本文介绍了一种数据生命周期管理解决方案ADLM(Academia Resource Planning System Data Lifecycle Manage,简称ADLM),在不增加硬件成本情况下,使用程序控制方法,达到系统性能优化和实现历史数据归档保存的目的。主要解决了具有时间周期特性的业务数据的分类管理、在线归档、离线存储等问题,对业务数据归档策略、分级存储实现和归档数据查询等关键问题进行了分析,最后通过实际应用,证明本技术方案可以方便快捷地实现业务处理性能的提升和对磁盘空间使用需求无限增长的有效控制。
文摘Agriculture is not only influenced by climate change,but it is also one of the significant contributors of CO_(2) emission.Understanding CO_(2) emission and macroeconomic variables is critical to solving the challenges and threats faced by Kenya’s agriculture and environment.This study used the Environmental Kuznets Curve(EKC)hypothesis and the autoregressive distribution lag model(ADLM)to analyze the relationships of CO_(2) emission with agricultural output,government direct investment,trade openness,and inflation rate in Kenya from 1983 to 2019.The study found that there exists a positive(direct)relationship between CO_(2) emission and foreign direct investment in the long run in Kenya.Additionally,CO_(2) emission and trade openness have a negative(indirect)and statistically significant relationship after the error correction term adjustment in the long run.Moreover,the relationship between CO_(2) emission and agricultural output is positive(direct)and statistically significant in the long run.There is a positive(direct)and statistically insignificant relationship between CO_(2) emission and inflation rate in the short run.Notably,the EKC hypothesis indicated that the Kenya’s economy is still on the environmental degradation trade-off through the gradual increase of both CO_(2) emission and agricultural output.Our results are important to Kenya’s economy because the derived insights will assist in relevant departments to formulate sustainable strategies to minimize environmental degradation.
