QoS-LS: QoS-based Load Scheduling Algorithm in Real-Time Data Warehouse
Authors
Jingang Shi, Song Guo, Fangjun Luan, Limei Sun
Corresponding Author
Jingang Shi
Available Online April 2017.
- DOI
- 10.2991/icmmct-17.2017.227How to use a DOI?
- Keywords
- data warehouse; real-time; QoS; data freshness
- Abstract
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.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Jingang Shi AU - Song Guo AU - Fangjun Luan AU - Limei Sun PY - 2017/04 DA - 2017/04 TI - QoS-LS: QoS-based Load Scheduling Algorithm in Real-Time Data Warehouse BT - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017) PB - Atlantis Press SP - 1152 EP - 1157 SN - 2352-5401 UR - https://doi.org/10.2991/icmmct-17.2017.227 DO - 10.2991/icmmct-17.2017.227 ID - Shi2017/04 ER -