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All Journal Jurnal Informatika: Jurnal Pengembangan IT
M Naufal Adrian Pratama Putra
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Computer Science & IT

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Penerapan Fuzzy Sugeno untuk Deteksi Overload Host pada Dynamic VM Consolidation M Naufal Adrian Pratama Putra; Chaerul Umam
Jurnal Informatika: Jurnal Pengembangan IT Vol 11, No 2 (2026)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v11i2.10130

Abstract

High energy consumption in cloud data centers has a direct impact on operational costs and environmental efficiency, so a more adaptive and energy-efficient resource management strategy is needed through Dynamic Virtual Machine (VM) consolidation. This research proposes a novelty in the form of applying the Zero Order Fuzzy Sugeno method as a more responsive and lightweight host overload detection mechanism. The proposed method was tested through simulations using CloudSim version 7 with PlanetLab workloads. Performance evaluation was conducted through simulations using the CloudSim 7G framework with a standard PlanetLab benchmark workload. Tests were executed in 12 cross-combination scenarios to compare the performance of Fuzzy Sugeno with the system's built-in benchmarking methods, such as Inter Quartile Range (IQR) and Median Absolute Deviation (MAD). The test results show that the Fuzzy Sugeno method is able to provide significant energy consumption savings of up to 27.5%, with the lowest energy consumption achievement of 144.07 kWh, much more efficient than the IQR-MU comparison method which reached 198.94 kWh. Although there is a trade-off in the form of an increase in the frequency of VM migration which results in a violation of the Service Level Agreement (SLA) of 0.70%, the Fuzzy Sugeno method has proven to be very effective and is recommended for green data center scenarios that prioritize maximum power efficiency.
Co-Authors Chaerul Umam