FIELD: computing.
SUBSTANCE: invention relates to the field of computing, in particular to systems for streaming data processing from IoT devices. The system acts as a cluster software and a data transfer bus at the same time. Each node included in the system has the same set of functionalities, which allows you to maintain full functionality with partial loss of a cluster - several compute nodes. Horizontal scaling is performed automatically, allocating and freeing resources depending on the current load profile of specific functions and the workload of compute nodes, providing the required level of performance. The method is characterized by the use of controlling factories, consisting of a set of servers and/or virtual machines (server pool), as data control and decision-making blocks, and in the controlling factory they control the IoT devices of users, connect them to the closest and least loaded computing factory, where computing factories are a set of server hardware and/or virtual machines (server pool) with specified software, allowing in each computing factory to process data from IoT devices, collect IoT device configuration statistics, transfer new firmware versions, control vulnerabilities and software configuration of IoT devices.
EFFECT: optimization of the use of technical resources of service servers by freeing up little-used resources and loading new resources with increasing load.
1 cl, 5 dwg
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Authors
Dates
2021-11-23—Published
2021-03-05—Filed