Planning of aggregation and normalization of data from the Internet of Things for processing on a multiprocessor cluster

Abstract

An approach to preliminary processing of data from the Internet of Things is suggested. The suggested procedure is based on data aggregation and normalization and makes it possible to reduce the data dimension for further analysis and increase the rate of aggregation and normalization. To that end it is proposed to carry out data processing on a multiprocessor cluster. The article provides a detailed description of the approach to dividing the given task into connected subtasks and indicates which of them can be fulfilled in parallel. Algorithms of task distribution among the multiprocessor cluster nodes and task planning on a multiprocessor cluster node are developed.