Skip to content
Free planNo credit card requiredStart writing

article · 1994

Using PVM to Implement a Parallel Database System

Bozas Lehn Listl, G. Bozas, R. Lehn, A. Listl, M. Pawlowski, A. Reiser

Cited by 0Abstract and details only

Abstract

MIDAS (MunIch Parallel DAtabase System) is a parallel relational database system. It is well suited to serve as a platform for the exploration of various strategies in order to parallelize a relational database system. This short paper depicts how the abstract architecture of MIDAS looks like. A detailed description shows the implementation of a MIDAS prototype on a network of UNIX workstations. The core of the MIDAS protoype is implemented using PVM. But pure PVM does not fulfil all demands in order to implement a parallel database system. We demonstrate how our implementation combines the PVM programming model with standard UNIX mechanisms. We use UNIX shared memory to enhance the efficiency of our implementation and we use access privileges to UNIX files to secure the database against unauthorized access. The MIDAS Architecture MIDAS has a client/server architecture (see figure 1). The MIDAS server provides a high level interface (SQL) to retrieve and manipulate efficiently the con...

Cite this paper

APA 7

Listl, B. L., Bozas, G., Lehn, R., Listl, A., Pawlowski, M., & Reiser, A. (1994). Using PVM to Implement a Parallel Database System.

MLA 9

Listl, Bozas Lehn, et al. “Using PVM to Implement a Parallel Database System.” 1994.

Chicago

Listl, Bozas Lehn, G. Bozas, R. Lehn, A. Listl, M. Pawlowski, and A. Reiser. 1994. “Using PVM to Implement a Parallel Database System.”

Harvard

Listl, B.L. et al. (1994) ‘Using PVM to Implement a Parallel Database System’.

BibTeX
@article{listl1994using,
  title = {{Using PVM to Implement a Parallel Database System}},
  author = {Listl, Bozas Lehn and Bozas, G. and Lehn, R. and Listl, A. and Pawlowski, M. and Reiser, A.},
  year = {1994}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.