Training System for Studing Computer Clusters

Mollova, Stoyanka; Seymenliyski, Kamen; Letskovska, Silviya; Simionov, Radoslav; Zaerov, Eldar

doi:10.1109/hitech48507.2019.9128124

Cited by 1 publication

(1 citation statement)

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“…RPi clusters are also used as dedicated parallel computing hardware for each student, instead of students having to share hardware [22]. With the benefits of remote access, RPi cluster enables students to build their own File Systems in User Space (FUSE), and gain experience of using a low-cost remote laboratory [23], [24]. In addition, RPi cluster can potentially be extended into a mini supercomputer [25], [26], that can be used for education and research as a high-performance computer.…”

Section: Educationmentioning

confidence: 99%

Distributed Multi-Ant Colony System Algorithm using Raspberry Pi Cluster for Travelling Salesman Problem

Alobaedy

Khalaf

Fazea

2022

eijs

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The traveling salesman problem is addressed in this paper by introducing a distributed multi-ant colony algorithm that is implemented on a Raspberry Pi cluster. The implementation of a master and eight workers, each running on Raspberry Pi nodes, is the central component of this novel technique. Each worker is responsible for managing their own colony of ants, while the master coordinates communications among workers’ nodes and assesses the most optimal approach. To put the newly built cluster through its paces, several datasets of traveling salesman problem are used to test the created cluster. The findings of the experiment indicate that a single board computer cluster, which makes use of multi-ant colony algorithm, is a viable alternative for distributed computing. This approach's extensibility options are extensively discussed as well.

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