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 …
Root Cause Analysis for Cloud-native Applications
B Żurkowski, K Zieliński - IEEE Transactions on Cloud …, 2024 - ieeexplore.ieee.org
Root cause analysis (RCA) is a critical component in maintaining the reliability and
performance of modern cloud applications. However, due to the inherent complexity of cloud …
performance of modern cloud applications. However, due to the inherent complexity of cloud …
Practical and Scalable ML-Driven Cloud Performance Debugging With Sage
Cloud applications are increasingly shifting from large monolithic services to complex
graphs of loosely coupled microservices. Despite their benefits, microservices are prone to …
graphs of loosely coupled microservices. Despite their benefits, microservices are prone to …
Self-adaptive root cause diagnosis for large-scale microservice architecture
The emergence of microservice architecture in Cloud systems poses a new challenges for
the reliability operation and maintenance. Due to numerous services and diverse types of …
the reliability operation and maintenance. Due to numerous services and diverse types of …
Sage: practical and scalable ML-driven performance debugging in microservices
Cloud applications are increasingly shifting from large monolithic services to complex
graphs of loosely-coupled microservices. Despite the advantages of modularity and …
graphs of loosely-coupled microservices. Despite the advantages of modularity and …
Causal modeling based fault localization in cloud systems using golden signals
In cloud-native applications, a large fraction of operational failures, known as outages, result
in violations of Service Level Objectives (SLOs). SLOs are defined around specific …
in violations of Service Level Objectives (SLOs). SLOs are defined around specific …
Fault injection to generate failure data for failure prediction: A case study
Due to the complexity of modern software, identifying every fault before deployment is
extremely difficult or even not possible. Such residual faults can ultimately lead to failures …
extremely difficult or even not possible. Such residual faults can ultimately lead to failures …
MTG_CD: Multi-scale learnable transformation graph for fault classification and diagnosis in microservices
J Chen, R Zhang, P Chen, J Ren, Z Wu, Y Wang… - Journal of Cloud …, 2024 - Springer
The rapid advancement of microservice architecture in the cloud has led to the necessity of
effectively detecting, classifying, and diagnosing run failures in microservice applications …
effectively detecting, classifying, and diagnosing run failures in microservice applications …
Enhancing fault localization in microservices systems through span-level using graph convolutional networks
H Kong, T Li, J Ge, L Zhang, L Li - Automated Software Engineering, 2024 - Springer
In the domain of cloud computing and distributed systems, microservices architecture has
become preeminent due to its scalability and flexibility. However, the distributed nature of …
become preeminent due to its scalability and flexibility. However, the distributed nature of …
Sage: Using unsupervised learning for scalable performance debugging in microservices
Cloud applications are increasingly shifting from large monolithic services to complex
graphs of loosely-coupled microservices. Despite the advantages of modularity and …
graphs of loosely-coupled microservices. Despite the advantages of modularity and …