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

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/).

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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  -