InstantOps: A Joint Approach to System Failure Prediction and Root Cause Identification in Microserivces Cloud-Native Applications
As microservice and cloud computing operations increasingly adopt automation, the
importance of models for fostering resilient and efficient adaptive architectures becomes …
importance of models for fostering resilient and efficient adaptive architectures becomes …
[PDF][PDF] Detecting Software Anomalies Using Spectrograms and Convolutional Neural Network
Microservice applications are increasingly embracing cloud platforms to run their services.
These applications can often be impacted by anomalies. Detecting anomalies at runtime is …
These applications can often be impacted by anomalies. Detecting anomalies at runtime is …
The 13th CASCON workshop on cloud computing: engineering AIOps
AIOps, or Artificial Intelligence for IT Operations, is the application of AI to enhance IT
operations. AIOps include activities such as collection and aggregation of data from …
operations. AIOps include activities such as collection and aggregation of data from …
Models for Detecting Performance Anomalies and Identifying Root Causes in Microservices Applications
Models for Detecting Performance Anomalies and Identifying Root Causes in Microservices
Applications Page 1 Models for Detecting Performance Anomalies and Identifying Root Causes …
Applications Page 1 Models for Detecting Performance Anomalies and Identifying Root Causes …
Disambiguating Performance Anomalies from Workload Changes in Cloud-Native Applications
Modern cloud-native applications are adopting the microservice architecture in which
applications are deployed in lightweight containers that run inside a virtual machine (VM) …
applications are deployed in lightweight containers that run inside a virtual machine (VM) …
Performance Interference Detection for Cloud-Native Applications Using Unsupervised Machine Learning Models
E Bakshi - 2024 - search.proquest.com
Contemporary cloud-native applications frequently adopt the microservice architecture,
where applications are deployed within multiple containers that run on cloud virtual …
where applications are deployed within multiple containers that run on cloud virtual …
Multi-objective empirical computational complexity of single-tenant service instances deployed at the Edge
D Athanasopoulos, M McEwen - Journal of Systems and Software, 2023 - Elsevier
The Edge has been recently introduced to augment the back-end of apps with service
instances deployed to machines that are located close to end-users' devices. However …
instances deployed to machines that are located close to end-users' devices. However …
[PDF][PDF] Predicting loss of fault tolerance in a cloud graph database
E Danielsson, L Franzén af Klint - LU-CS-EX, 2023 - lup.lub.lu.se
With the development of cloud computing it becomes increasingly popular with applications
which are hosted on the cloud and used over the internet. In order to keep the system …
which are hosted on the cloud and used over the internet. In order to keep the system …
The 14th CASCON Workshop on Cloud Computing
I Watts, M Litoiu - Proceedings of the 32nd Annual International …, 2022 - dl.acm.org
Artificial Intelligence and Cloud computing are often used together for implementing
automated tasks, that is, activities that execute without or with limited human supervision …
automated tasks, that is, activities that execute without or with limited human supervision …
[PDF][PDF] Machine Learning Interference Modelling for Cloud-native Applications
A Baluta - 2021 - yorkspace.library.yorku.ca
Modern cloud-native applications use microservice architecture patterns, where fine
granular software components are deployed in lightweight containers that run inside cloud …
granular software components are deployed in lightweight containers that run inside cloud …