A hybrid shared-nothing/shared-data storage architecture for large scale databases

Huaiming Song, Xian He Sun, Yong Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Shared-nothing and shared-disk are two widely-used storage architectures in current parallel database systems, and each of them has its own merits for different query patterns. However, there is no much effort in investigating the integration of these two architectures and exploiting their merits together. In this study, we propose a novel hybrid shared-nothing/shared-data storage scheme for large-scale databases, to leverage the benefits of both shared-nothing and shared-disk architectures. We adopt a shared-nothing architecture as the hardware layer and leverage a parallel file system as the storage layer. The proposed hybrid storage scheme can provide a high degree of parallelism in both I/O and computing, like that in a shared-nothing system. In the meantime, it can achieve convenient and high-speed data sharing across multiple database nodes, like that in a shared-disk system. The hybrid scheme is more appropriate for large-scale and data-intensive applications than each of the two individual types of systems.

Original languageEnglish
Title of host publicationProceedings - 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2011
Pages616-617
Number of pages2
DOIs
StatePublished - 2011
Event11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2011 - Newport Beach, CA, United States
Duration: May 23 2011May 26 2011

Publication series

NameProceedings - 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2011

Conference

Conference11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2011
CountryUnited States
CityNewport Beach, CA
Period05/23/1105/26/11

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  • Cite this

    Song, H., Sun, X. H., & Chen, Y. (2011). A hybrid shared-nothing/shared-data storage architecture for large scale databases. In Proceedings - 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2011 (pp. 616-617). [5948660] (Proceedings - 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2011). https://doi.org/10.1109/CCGrid.2011.78