IMPLEMENTATION OF AN APACHE SPARK COMPUTING CLUSTER BASED ON RASPBERRY PI MICROCOMPUTERS
The paper presents the implementation of an Apache Spark distributed computing cluster based on Raspberry Pi microcomputers. The solution consists of three Raspberry Pi 4 devices (one master node and two worker nodes), each equipped with 8 GB of RAM and a high-speed network connection. The cluster configuration was optimized by adjusting the SPARK_WORKER_MEMORY and SPARK_WORKER_CORES parameters to maximize the use of available hardware resources. Secure communication between nodes was established through authentication using 4096-bit SSH keys.