6 research outputs found
μ μ 체μ₯λ²½λ°©μ μ μμ΄μμ 곡κ°μ νμ μν₯μ κ΄ν μ°κ΅¬
νμλ
Όλ¬Έ(μμ¬)--μμΈλνκ΅ λνμ :μ 기곡νλΆ,2000.Maste
κ³ μΆμμ μλ³κ· μ μν λΏλ¦¬ μ©μλ³ μ νμ± μ μ μ λν μμ νμ§ μ μ μμ§λ μμ±
Thesis (doctoral)--μμΈλνκ΅ λνμ :μμνκ³Ό,2001.Docto
λ‘κ·Έ λΆμ κΈ°λ° κ°μ λ¨Έμ κ³ μ₯ μμΈ‘
MasterIn this study, we propose a machine learning model that predicts failures by analyzing logs before failures occur in virtual machines (VMs) used in network function virtualization (NFV) environments. The proposed model utilizes a convolutional neural network (CNN) and includes pre-processing and pre-failure tagging techniques. We collected log data from VMs built on OpenStack to validate the proposed model. We classified failures based on early fault messages and built a CNN model to predict VM failures with fault messages. The experimental results showed that the proposed model can predict failures within a 5-min period with an F1-score of 0.67. The proposed model could be used for VM proactive live migration to avoid service degradation and interruptions caused by failures.λ³Έ μ°κ΅¬μμλ NFV νκ²½μμ κ°μ λ¨Έμ (VM)μ λ°μνλ κ³ μ₯μ μμΈ‘νλ λͺ¨λΈμ μ μνκ³ μ€νμ ν΅ν΄ κ²μ¦νλ€. μ μν λͺ¨λΈμ VNFκ° μ€μΉλ κ°μ λ¨Έμ μμ μΆμΆν λ‘κ·Έλ₯Ό λΆμνμ¬ μΌμ μκ°μ΄ κ²½κ³Όν λ€μ κ³ μ₯μ΄ μΌμ΄λ μ§ μλμ§λ₯Ό νλ¨νλ€. μ°λ¦¬λ κΈ°μ‘΄μ sentence classification λ¬Έμ μμ μ¬μ©λλ ν©μ±κ³± μ κ²½λ§ κΈ°μ μ μ μ©νμμΌλ©°, κ°μ λ¨Έμ μ λ‘κ·Έ λΆμμ μ ν©ν λ°μ΄ν° μ μ²λ¦¬, log word embedding, pre-failure tagging λ±μ κΈ°λ²μ ν¨κ» μ¬μ©νμ¬ λ λμ νμ§ μ±λ₯μ κ°λλ‘ νμλ€. μ°λ¦¬λ OpenStackμμ μμ±ν λ°μ΄ν°λ‘ μ μν λͺ¨λΈμ κ²μ¦νμΌλ©°, κ·Έ κ²°κ³Ό, μ μνλ λ°©λ²μ΄ 5λΆ μ΄νμ κ³ μ₯μ F1-score 0.67λ‘ μμΈ‘ν μ μλ κ²μ νμΈνμλ€. νμ§λ§ μ€μ λ‘ λ°μμν¬ μ μλ κ³ μ₯ λ°μ΄ν°κ° λ§μ§ μκΈ° λλ¬Έμ ν₯ν μ°κ΅¬λ‘μ λ λ§μ λ°μ΄ν°λ₯Ό μμ±νμ¬ μ°κ΅¬μ νμ©ν μμ μ΄λ€