A Row-column Hybrid Storage Approach based on Massively Parallel Processing
Qiao Sun, Lan-Mei Fu, Peng Wu, Jia-Song Sun
Available Online December 2016.
- https://doi.org/10.2991/icwcsn-16.2017.62How to use a DOI?
- massively parallel processing; row-column hybrid Storage; cross-layer query; relational database.
- Massively parallel processing architecture, as a common parallel processing server architecture, is widely used in the field of mathematical modeling and database processing which require a lot of computing. This architecture can complete the calls of multiple processors by the coordination, which can process the same command simultaneously. However, this architecture is unable to satisfy the needs of optimizing and time delay when deal with the relational database system of row or column storage. This paper presents a row-column hybrid storage approach based on massively parallel processing, which selects the method by judging the requirements of the pending data. The optimized row storage method is selected with the low time-delay requirement and the optimized column storage method is selected with the complex processing requirement. And with the help of cross-layer during query and processing, both on-line analytical processing and on-line transaction processing can be achieved in one system. The real experiments on massively parallel processing network architecture show that this method can achieve the balance between high throughput and complex processing, and improve the overall performance.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Qiao Sun AU - Lan-Mei Fu AU - Peng Wu AU - Jia-Song Sun PY - 2016/12 DA - 2016/12 TI - A Row-column Hybrid Storage Approach based on Massively Parallel Processing PB - Atlantis Press SP - 284 EP - 288 SN - 2352-538X UR - https://doi.org/10.2991/icwcsn-16.2017.62 DO - https://doi.org/10.2991/icwcsn-16.2017.62 ID - Sun2016/12 ER -