Information systems that are intended for day-to-day
management, analysis or prognostication are usually based on
data collection systems (or subsystems). Data collection
system implements gathering and processing of data from
different data sources. This data can be used later for
decision making or can be sent to external systems – data
Most of modern data collection systems are based on
message-oriented middleware (MOM). This type of middleware
includes message queuing systems that are used to
communicate applications with each other. Applications
communication through message queuing systems is usually
asynchronous. Message queue is an intermediate storage for
information on its way from data sources to destination
server. Today, there are many different standard message
queue systems, such as IBM WebSphere MQ, MSMQ and so on.
In this article, we are considering problems of estimating
quality of data collection systems and are providing methods
of improving quality of data collection systems based on
message queue transport in critical conditions.
Keywords: data collection technology, data collection systems, message queueing systems, quality of information model, critical behaviour of data collection, data identity, message queue organization.