FUKURO: An Agent-Driven Framework for Real-Time Remote Host Resource Management

Muhammad Amirul Asraf Bin Mustafa, Kurk Wei Yi, Mohd Hariz Naim @ Mohayat and Kamarularifin Abd Jalil
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Muhammad Amirul Asraf Bin Mustafa: Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka (UTeM), Durian Tunggal, Melaka, 76100
Kurk Wei Yi: Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka (UTeM), Durian Tunggal, Melaka, 76100
Mohd Hariz Naim @ Mohayat: Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka (UTeM), Durian Tunggal, Melaka, 76100
Kamarularifin Abd Jalil: Department of Computer Technology and Network, Universiti Teknologi MARA, Shah Alam

International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 10, 6801-6813

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.

Date: 2025
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