Title

A High Performance Hybrid Architecture For Concurrent Query Execution

Abstract

The most debated architectures for parallel database processing are shared nothing (SN) and shared everything (SE) structures. Although SN is considered to be most scalable, it is very sensitive to the data skew problem. On the other hand, SE allows the collaborating processors to share the work load more efficiently. It, however, suffers from the limitation of the memory and disk I/O bandwidth. The authors present a hybrid architecture in which SE clusters are interconnected through a communication network to form a SN structure at the inter-cluster level. Processing elements are clustered into SE systems to minimize the skew effect. Each cluster, however, is kept within the limitation of the memory and I/O technology to avoid the data access bottleneck. A generalized performance model was developed to perform sensitivity analysis for the hybrid structure, and to compare it against SE and SN organizations.

Publication Date

1-1-1990

Publication Title

Proceedings of the 2nd IEEE Symposium on Parallel and Distributed Processing 1990, SPDP 1990

Number of Pages

348-351

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/SPDP.1990.143563

Socpus ID

85067983484 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85067983484

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