Performance issue monitoring, identification and diagnosis of SaaS software: a survey

R Wang, X Tian, S Ying - Frontiers of Computer Science, 2025 - Springer
Abstract SaaS (Software-as-a-Service) is a service model provided by cloud computing. It
has a high requirement for QoS (Quality of Software) due to its method of providing software …

ASOD: an adaptive stream outlier detection method using online strategy

Z Hu, X Yu, L Liu, Y Zhang, H Yu - Journal of Cloud Computing, 2024 - Springer
In the current era of information technology, blockchain is widely used in various fields, and
the monitoring of the security and status of the blockchain system is of great concern. Online …

Optimalisasi Deteksi Serangan DDoS Menggunakan Algoritma Random Forest, SVM, KNN dan MLP pada Jaringan Komputer

I Maulana, A Alamsyah - Indonesian Journal of Mathematics and …, 2023 - journal.unnes.ac.id
Distributed denial of service (DDoS) merupakan serangan pada server komputer yang
menjadi ancaman serius pada keamanan jaringan komputer. Serangan ini dapat …

GRAND: GAN-based software runtime anomaly detection method using trace information

S Kong, J Ai, M Lu, Y Gong - Neural Networks, 2024 - Elsevier
Software runtime anomaly detection can detect manifestations (known as anomalies)
caused by faults in complex systems before they lead to failure. Whereas most existing …

CL-MMAD: A contrastive learning based multimodal software runtime anomaly detection method

S Kong, J Ai, M Lu - Applied Sciences, 2023 - mdpi.com
Featured Application Software runtime anomaly detection is a critical component in AIOps.
The proposed method can detect both functional failures and performance failures in …