10 citations · 27 across the 10 of their papers we have counts for
11 papers
First CE Matters: On the Importance of Long Term Properties on Memory Failure Prediction
Jasmin Bogatinovski, Qiao Yu, Jorge Cardoso +1
Dynamic random access memory failures are a threat to the reliability of data centres as they lead to data loss and system crashes. Timely predictions of memory failures allow for…
Leveraging Log Instructions in Log-based Anomaly Detection
Jasmin Bogatinovski, Gjorgji Madjarov, Sasho Nedelkoski +2
Artificial Intelligence for IT Operations (AIOps) describes the process of maintaining and operating large IT systems using diverse AI-enabled methods and tools for, e.g., anomaly…
Failure Identification from Unstable Log Data using Deep Learning
Jasmin Bogatinovski, Sasho Nedelkoski, Li Wu +2
The reliability of cloud platforms is of significant relevance because society increasingly relies on complex software systems running on the cloud. To improve it, cloud providers…
Data-Driven Approach for Log Instruction Quality Assessment
Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker +2
In the current IT world, developers write code while system operators run the code mostly as a black box. The connection between both worlds is typically established with log messa…
IAD: Indirect Anomalous VMMs Detection in the Cloud-based Environment
Anshul Jindal, Ilya Shakhat, Jorge Cardoso +2
Server virtualization in the form of virtual machines (VMs) with the use of a hypervisor or a Virtual Machine Monitor (VMM) is an essential part of cloud computing technology to pr…
Memory Leak Detection Algorithms in the Cloud-based Infrastructure
Anshul Jindal, Paul Staab, Pooja Kulkarni +3
A memory leak in an application deployed on the cloud can affect the availability and reliability of the application. Therefore, identifying and ultimately resolve it quickly is hi…
Online Memory Leak Detection in the Cloud-based Infrastructures
Anshul Jindal, Paul Staab, Jorge Cardoso +2
A memory leak in an application deployed on the cloud can affect the availability and reliability of the application. Therefore, to identify and ultimately resolve it quickly is hi…
Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper
Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker +5
Artificial Intelligence for IT Operations (AIOps) is an emerging interdisciplinary field arising in the intersection between the research areas of machine learning, big data, strea…
A Systematic Mapping Study in AIOps
Paolo Notaro, Jorge Cardoso, Michael Gerndt
IT systems of today are becoming larger and more complex, rendering their human supervision more difficult. Artificial Intelligence for IT Operations (AIOps) has been proposed to t…
Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs
Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker +2
The detection of anomalies is essential mining task for the security and reliability in computer systems. Logs are a common and major data source for anomaly detection methods in a…
Self-Supervised Log Parsing
Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker +2
Logs are extensively used during the development and maintenance of software systems. They collect runtime events and allow tracking of code execution, which enables a variety of c…