Data science projects represent a greater challenge than software engineering for
organizations pursuing their adoption. The diverse stakeholders involved emphasize the …

This study aims to define factors that affect Artificial Intelligence (AI) technology introduction
to network operations and analyze the relative importance of such factors. Based on this …

Modern cloud services are prone to failures due to their complex architecture, making
diagnosis a critical process. Site Reliability Engineers (SREs) spend hours leveraging …

As the information technology industry advances, the demand for log anomaly detection,
based solely on printed log text, is growing. However, identifying anomalies in rapidly …

Large language model (LLM) applications in cloud root cause analysis (RCA) have been
actively explored recently. However, current methods are still reliant on manual workflow …

With the proliferation of IoT devices, there has been exponential growth in data generation,
placing substantial demands on both cloud computing (CC) and internet infrastructure. CC …

With the advancement of technologies like 5G, cloud computing, and microservices, the
complexity of network management systems and the variety of technical components have …

In microservice architecture, anomalies can cause slow response times or poor user
experience if not detected early. Manual detection can be time-consuming and error-prone …

Cloud platforms, serving as fundamental infrastructure, play a significant role in developing
modern applications. In recent years, there has been growing interest among researchers in …

As the IT industry advances, system log data becomes increasingly crucial. Many computer
systems rely on log texts for management due to restricted access to source code. The need …