4 papers
Modeling Anomaly Detection in Cloud Services: Analysis of the Properties that Impact Latency and Resource Consumption
Gabriel Job Antunes Grabher, Fumio Machida, Thomas Ropars
Detecting and resolving performance anomalies in Cloud services is crucial for maintaining desired performance objectives. Scaling actions triggered by an anomaly detector help ach…
On Metaverse Application Dependability Analysis
Yingfan Zong, Jing Bai, Xiaolin Chang +2
Metaverse as-a-Service (MaaS) enables Metaverse tenants to execute their APPlications (MetaAPP) by allocating Metaverse resources in the form of Metaverse service functions (MSF).…
Understanding Container-based Services under Software Aging: Dependability and Performance Views
Jing Bai, Xiaolin Chang, Fumio Machida +1
Container technology, as the key enabler behind microservice architectures, is widely applied in Cloud and Edge Computing. A long and continuous running of operating system (OS) ho…
Towards Semi-Markov Model-based Dependability Evaluation of VM-based Multi-Domain Service Function Chain
Lina Liu, Jing Bai, Xiaolin Chang +3
In NFV networks, service functions (SFs) can be deployed on virtual machines (VMs) across multiple domains and then form a service function chain (MSFC) for end-to-end network serv…