FUKURO: An Agent-Driven Framework for Real-Time Remote Host Resource Management
Authors
Muhammad Amirul Asraf Bin Mustafa
Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka (UTeM), Durian Tunggal, Melaka, 76100 (Malaysia)
Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka (UTeM), Durian Tunggal, Melaka, 76100 (Malaysia)
Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka (UTeM), Durian Tunggal, Melaka, 76100 (Malaysia)
Department of Computer Technology and Network, Universiti Teknologi MARA, Shah Alam (Malaysia)
Article Information
DOI: 10.47772/IJRISS.2025.910000556
Subject Category: Social science
Volume/Issue: 9/10 | Page No: 6801-6813
Publication Timeline
Submitted: 2025-10-20
Accepted: 2025-10-28
Published: 2025-11-18
Abstract
Remote host resource monitoring is a critical aspect of maintaining and operating distributed computing environments, especially in the era of DevOps where development and operations are integrated to support continuous delivery. As the number of remote systems and personnel involved in operational phases increases, existing monitoring solutions struggle with decentralization, limited accessibility, and lack of user-centric customization. This project introduces FUKURO (Fundamental Kernel Utilization Realtime Overseeing), an integrated monitoring system designed to centralize remote host management and improve efficiency through automation. The system comprises three core components: a Python-based agent installed on the remote host to collect performance metrics such as CPU, memory, disk, and network utilization; a NodeJS web service server that aggregates data into a centralized MySQL database and manages alerts; and a Flutter-based mobile application providing a cross-platform interface for real-time visualization and configuration. Through systematic testing, FUKURO successfully achieved real-time metric collection, threshold-based alert notifications, and seamless data synchronization between hosts and mobile devices. The results demonstrate that the system enhances accessibility, simplifies collaboration among DevOps teams, and reduces technical overhead for monitoring remote resources. Future enhancements aim to extend agent compatibility across multiple operating systems and integrate predictive analytics for proactive maintenance.
Keywords
Remote monitoring, DevOps, Agent-based
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References
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