Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4945135 | Information Systems | 2017 | 55 Pages |
Abstract
This article aims to better understand the thrashing phenomenon across multiple DBMSes. We identify some of the underlying causes of DBMS thrashing. We then propose a novel structural causal model to explicate the relationships between various factors contributing to DBMS thrashing. Our model derives a number of specific hypotheses to be subsequently tested across DBMSes, providing empirical support for this model as well as important engineering implications for improvements in transaction processing.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Young-Kyoon Suh, Richard T. Snodgrass, Sabah Currim,