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.
Show moreStarting year
2022
End year
2026
Granted funding
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