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Monitoring High Volume On‐line Transaction Processing Systems Using a Continuous Sampling Approach
Author(s) -
Groomer S. Michael,
Murthy Uday S.
Publication year - 2003
Publication title -
international journal of auditing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.583
H-Index - 21
eISSN - 1099-1123
pISSN - 1090-6738
DOI - 10.1111/1099-1123.00002
Subject(s) - computer science , database transaction , sampling (signal processing) , transaction processing , conjunction (astronomy) , transaction data , database , plan (archaeology) , continuous production , audit , data mining , real time computing , accounting , engineering , business , physics , archaeology , filter (signal processing) , astronomy , environmental engineering , computer vision , history
The purpose of this article is to describe how continuous sampling plans can be used in conjunction with embedded audit modules (EAMs) to monitor transaction processing in on‐line database‐driven environments. The objectives of this article are (1) to describe the elements and methodology of continuous sampling plans and discuss their applicability for monitoring on‐line transaction processing systems, (2) to discuss how continuous sampling plans could be employed in conjunction with EAMs in on‐line transaction processing environments, and (3) to illustrate how a continuous sampling plan would work with EAMs in a relational database environment. The contribution of this research lies in the exposition of an appropriate methodology (i.e., continuous sampling) to be used in conjunction with a concurrent monitoring technique for effective monitoring of on‐line transaction processing systems. Additionally, the article shows how continuous sampling overcomes some of the drawbacks associated with continuous monitoring techniques that are computationally intensive in on‐line transaction processing environments.