QoS-LS: QoS-based Load Scheduling Algorithm in Real-Time Data Warehouse

被引：0
|
作者：
Shi, Jingang [1 ]
Guo, Song [1 ]
Luan, Fangjun [1 ]
Sun, Limei [1 ]
机构：
[1] Shenyang Jianzhu Univ, Sch Informat & Control Engn, Shenyang 110168, Liaoning, Peoples R China
来源：
PROCEEDINGS OF THE 2017 5TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND COMPUTING TECHNOLOGY (ICMMCT 2017) | 2017年 / 126卷
基金：
中国国家自然科学基金;
关键词：
data warehouse; real-time; QoS; data freshness;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In real-time data warehouses, data updates are no longer implemented in a periodic way during the idle time, but continuously ongoing. Thus the scheduling of updates and queries becomes a key issue. This paper proposes a load scheduling algorithm based on QoS parameters of query tasks. First, the paper defines some QoS parameters related to queries. Then, according to the specific QoS requirements of queries, the algorithm makes a real-time load scheduling for updates and queries. Finally, some experiments show that the algorithm can adjust the running order of tasks reasonably and use the system resources effectively to provide the faster query response and fresher data to users, according to the specific QoS requirements.
引用
收藏
页码：1152 / 1157
页数：6
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