System for managing the flow of information in a group of big data clusters using artificial intelligence
The utility model is in the field of information technology and relates to a system for managing flows of information - commands and data, distributed and directed between network-connected independent Big Data Clusters, with the process of managing the distribution using Artificial Intelligence.
Description
The system is used when working with several Big Data clusters, determining which cluster to orient a corresponding Input Request for processing, with the main priority goal being to process the request in the shortest possible time.
When using clusters for big data, initially starts by creating one cluster, but as the data volume and the size of the data increase, a situation arises in which the processing time for subsequent big data starts to become slower. In such a case, several clusters for big data are created, the data is distributed between these clusters and the system proposed in the utility model is applied. Thus, the system proposed in the utility model will ensure a reduction in the processing time of the Input Processing Request.
The management of the flow of information is supported by artificial intelligence, which optimizes the distribution and unification of results.
Opportunities
This system enables efficient and intelligent management of large volumes of data in distributed environments, using artificial intelligence to optimize resources and improve performance when processing complex requests in cluster infrastructures.
Utility model
| Author | |
|
Valentin Stefanov Kisimov Part-time prof. |
|
| Category | |
|
Administration, Energy, Professional Activities, Transport, Storage & Post, Healthcare |
|