Multimodal Fusion based Anomaly Detection for Improving Microservice-based System
Bidragets beskrivning
Understanding software behavior is important for modern software development, where software must evolve quickly without sacrificing reliability. At the end of the day, the users do not care if poor software service is due to operations (Ops) or development (Dev) failures, thus, both types of anomalies must be resolved quickly. Overall, our work aims for scientific breakthroughs enabling a path towards a fully automated software system monitoring and healing. This area will become even more important in the future as our lives and societies become ever more dependent on software-controlled services and devices. We collaborate with the software industry to ensure the ecological validity of our findings. Multiple academic partners also support our work.
Visa merStartår
2022
Slutår
2026
Beviljade finansiering
Rollen i Finlands Akademis konsortium
Övriga parter i konsortiet
Övriga uppgifter
Finansieringsbeslutets nummer
349488
Vetenskapsområden
Data- och informationsvetenskap
Forskningsområden
Ohjelmistotekniikka, käyttöjärjestelmät, ihminen-kone -vuorovaikutus
Identifierade teman
computer science, information science, algorithms