
The aim of the experiment is to compare the classical CQRS and mCQRS approaches with respect to system performance and complexity.The experiment involves developing two Representative Test Projects (RTPs) with identical functionality: one based on the classical CQRS architecture and the other on mCQRS. For each system, complexity and performance metrics were measured. The systems were deployed on an AWS cloud server and connected to a remote database (Amazon RDS).
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
