Research Article

KAN-GRU: A Lightweight Temporal Kolmogorov-Arnold Network for Cloud Resource Utilization Forecasting

Volume: 9 Number: 5 October 30, 2026

KAN-GRU: A Lightweight Temporal Kolmogorov-Arnold Network for Cloud Resource Utilization Forecasting

Abstract

Accurate forecasting of cloud resource utilization is essential for proactive provisioning, autoscaling, and energy-aware scheduling in modern data centers. Temporal Kolmogorov-Arnold Networks (TKANs) provide a promising alternative to MLP-based models by combining Kolmogorov- Arnold representations with recurrent sequential modeling. However, prior TKAN formulation typically relies on LSTM-style recurrence, which increases parameter count and computational cost. This work introduces KAN–GRU, a lightweight TKAN-based architecture that substitutes the LSTM cell in the TKAN temporal component with a GRU, reducing parameters while preserving temporal modeling capacity. The evaluation benchmarks KAN–GRU for data-center resource-utilization forecasting under univariate and multivariate configurations and across single-step and multi-step prediction horizons. The results indicate that KAN-GRU improves computational efficiency while maintaining competitive predictive performance, making it suitable for scalable deployment in monitoring and control operations in cloud environments.

Keywords

Project Number

BIDEB 2232-B Project No: 121C127

Ethical Statement

This study does not require ethics committee approval, as it does not involve human participants, animal subjects, personal data, or any experimental procedure requiring ethical review. It is declared that scientific and ethical principles were followed during the preparation of this study, and all sources used have been appropriately cited in the bibliography.

References

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Details

Primary Language

English

Subjects

Artificial Intelligence (Other)

Journal Section

Research Article

Early Pub Date

October 27, 2026

Publication Date

October 30, 2026

Submission Date

April 30, 2026

Acceptance Date

August 31, 2026

Published in Issue

Year 2026 Volume: 9 Number: 5

APA
Alışan, E. N., Eryilmaz, E. M., Sefer, E., & Aktürk, İ. (2026). KAN-GRU: A Lightweight Temporal Kolmogorov-Arnold Network for Cloud Resource Utilization Forecasting. Sakarya University Journal of Computer and Information Sciences, 9(5), 1571-1580. https://doi.org/10.35377/saucis...1941245
AMA
1.Alışan EN, Eryilmaz EM, Sefer E, Aktürk İ. KAN-GRU: A Lightweight Temporal Kolmogorov-Arnold Network for Cloud Resource Utilization Forecasting. SAUCIS. 2026;9(5):1571-1580. doi:10.35377/saucis.1941245
Chicago
Alışan, Ezgi Nur, Emir Mehmet Eryilmaz, Emre Sefer, and İsmail Aktürk. 2026. “KAN-GRU: A Lightweight Temporal Kolmogorov-Arnold Network for Cloud Resource Utilization Forecasting”. Sakarya University Journal of Computer and Information Sciences 9 (5): 1571-80. https://doi.org/10.35377/saucis. 1941245.
EndNote
Alışan EN, Eryilmaz EM, Sefer E, Aktürk İ (October 1, 2026) KAN-GRU: A Lightweight Temporal Kolmogorov-Arnold Network for Cloud Resource Utilization Forecasting. Sakarya University Journal of Computer and Information Sciences 9 5 1571–1580.
IEEE
[1]E. N. Alışan, E. M. Eryilmaz, E. Sefer, and İ. Aktürk, “KAN-GRU: A Lightweight Temporal Kolmogorov-Arnold Network for Cloud Resource Utilization Forecasting”, SAUCIS, vol. 9, no. 5, pp. 1571–1580, Oct. 2026, doi: 10.35377/saucis...1941245.
ISNAD
Alışan, Ezgi Nur - Eryilmaz, Emir Mehmet - Sefer, Emre - Aktürk, İsmail. “KAN-GRU: A Lightweight Temporal Kolmogorov-Arnold Network for Cloud Resource Utilization Forecasting”. Sakarya University Journal of Computer and Information Sciences 9/5 (October 1, 2026): 1571-1580. https://doi.org/10.35377/saucis. 1941245.
JAMA
1.Alışan EN, Eryilmaz EM, Sefer E, Aktürk İ. KAN-GRU: A Lightweight Temporal Kolmogorov-Arnold Network for Cloud Resource Utilization Forecasting. SAUCIS. 2026;9:1571–1580.
MLA
Alışan, Ezgi Nur, et al. “KAN-GRU: A Lightweight Temporal Kolmogorov-Arnold Network for Cloud Resource Utilization Forecasting”. Sakarya University Journal of Computer and Information Sciences, vol. 9, no. 5, Oct. 2026, pp. 1571-80, doi:10.35377/saucis. 1941245.
Vancouver
1.Ezgi Nur Alışan, Emir Mehmet Eryilmaz, Emre Sefer, İsmail Aktürk. KAN-GRU: A Lightweight Temporal Kolmogorov-Arnold Network for Cloud Resource Utilization Forecasting. SAUCIS. 2026 Oct. 1;9(5):1571-80. doi:10.35377/saucis. 1941245

 

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