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Digital Signal Feature Extraction for Graph-Based Host Classification in VM Placement Hidayat, Taufik; Medriavin Silalahi, Lukman; Hamid, Abdul
ZETROEM Vol 8 No 1 (2026): ZETROEM
Publisher : Prodi Teknik Elektro Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/ztr.v8i1.7559

Abstract

This study proposes a host classification methodology based on signal analysis and graph representation as a pre-placement stage for virtual machines (VM) in a cloud computing environment. The Bitbrains dataset is utilized as a source of time-series data representing CPU, memory, disk, and network utilization. Each parameter is modeled as a discrete signal and analyzed in both time and frequency domains. The analysis is conducted using a fixed observation window and frequency-domain transformation to capture workload characteristics across multiple resources. The Fourier transform results indicate the dominance of low-frequency components, suggesting gradual workload variations. Spectral energy is calculated and normalized to identify quantitative differences between host conditions. The results show that the overloaded class contributes 98.9% of the total spectral energy, while the underloaded and balanced classes contribute only 0.7% and 0.4%, respectively. The extracted features are then integrated using a four-node graph model that connects all resource dimensions into a single structure. The aggregated graph score is employed for dynamic percentile-based classification. From a total of 1,239 analyzed hosts, the proposed method classifies 421 hosts as overloaded, 409 as underloaded, and 409 as balanced. These findings demonstrate that spectral characteristics combined with graph integration provide a quantitatively structured and adaptive host segmentation mechanism, where the resulting classification can support VM placement decisions by identifying underloaded, balanced, and overloaded host conditions.
Co-Authors Abdul Hamid Adi Kurnia Agung Yoke Basuki Agus Dendi Rochendi Agus Dendi Rochendi Agus Dendi Rochendi Agus Dendi Rochendi Agus Dendi Rochendi Agus Dendi Rochendi Agus Dendi Rochendi Alvin Sepbrian Amaliya, Triyastika Andhika Kurniawan Andhika Kurniawan Arga Gilang Rolanda Arif Rahman Hakim Badaruddin Badaruddin Chris Drake Cian Ramadhona Hassolthine Dadang Gunawan Daniel Putra Pardamean Mbarep David Martin Antoyo Dimas Jatikusumo Ema Ema Erry Yulian Triblas Adesta Fajar Banardi, Deswandi Fajri, Nuralia Fauziah Anggini Freddy Artadima Silaban Gao Hongmin Gunawan Osman Haq, Fesa Asy Syifa Nurul Heryanto Heryanto Ike Yuni Wulandari Imelda Uli Vistalina Simanjuntak Imelda Uli Vistalina Simanjuntak Imelda Uli Vistalina Simanjuntak Irfan Kampono Linggar Amnesta Virgian Maharani, Muthia Mochamad Furqon Ismail Mudrik Alaydrus Muhamad Husni Muhammad Budi Haryono Muhammad Hafizd Ibnu Hajar Muhammad Ikhsan Muhammad Yusuf Muhtar Muhtar Muhtar Muhtar Muhtar Muhtar Muliati, Vika Febri Narwikant Indroasyoko Nyi Mas Mia Rahmawati Rachel Intania Rifany Rachmat Muwardi Raden Sutiadi RAHAYU, FAJAR Rahmad, Khozaeni Bin Ramdani, Ranti Aulia Putri Retno Dwi Hapsari Rizki, Retno Bangun Rochendi, Agus Dendi Rumbaman, Wulan Nursyifa Selamet Kurniawan Septi Andryana Setiyo Budiyanto Sihombing, Grace Lamudur Arta Simanjuntak, Imelda Uli Vistalina Suci Resmiyati Taufik Hidayat Taufiq, Yufimar Triyanto Pangaribowo Ucuk Darusalam Vika Febri Mulyati Vrathama, Brenanda Kristian Wicaksono, Wisnu Adi Wijaksana, Wibi Wijaksana Wisnu Adi Wicaksono