Multimodal Fusion based Anomaly Detection for Improving Microservice-based System

Description of the granted funding

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.
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Starting year

2022

End year

2026

Granted funding

Davide Taibi Orcid -palvelun logo
499 643 €


Funder

Research Council of Finland

Funding instrument

Academy projects

Other information

Funding decision number

349488

Fields of science

Computer and information sciences

Research fields

Ohjelmistotekniikka, käyttöjärjestelmät, ihminen-kone -vuorovaikutus

Identified topics

computer science, information science, algorithms