Abstract
A software architecture for monitoring big data storage platforms
Highlights
In the early 2000s, NoSQL platforms were introduced to solve performance issues arising from the use of classical relational databases as a means of dealing with the increasing size of data
In order to prove the practical usage of the proposed system architecture, various performance experiments were applied to the prototype application
Within the scope of this study, a system architecture was proposed for a hybrid platform that performs real-time monitoring on various big data platform systems
Summary
In the early 2000s, NoSQL platforms were introduced to solve performance issues arising from the use of classical relational databases as a means of dealing with the increasing size of data. Contrary to the rule of generating the tables of relational databases according to a specific data schema, no specific data model is sought out for JSON documents within the “collection.” Each document is independent and may differ from others in terms of its data structure Another type of NoSQL platform is one where the data are stored according to a graph data structure. No monitoring tool of a certain platform may be used to monitor another NoSQL platform To eliminate this deficiency, a monitoring platform architecture will be proposed in this paper. The developed prototype platform is an application that enables real-time monitoring of different NoSQL databases. It enables monitoring in various reporting formats (e.g., tabular presentation and visual presentation) by retrieving data from NoSQL databases on the system. The performance assessment of the prototype, followed by the presentation of results and future studies, is introduced
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