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.
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Startår

2022

Slutår

2026

Beviljade finansiering


Davide Taibi Orcid -palvelun logo
499 643 €

Rollen i Finlands Akademis konsortium

Övriga parter i konsortiet

Leader
Uleåborgs universitet (349487)
98 550 €

Finansiär

Finlands Akademi

Typ av finansiering

Akademiprojekt

Övriga uppgifter

Finansieringsbeslutets nummer

349488

Vetenskapsområden

Data- och informationsvetenskap

Forskningsområden

Ohjelmistotekniikka, käyttöjärjestelmät, ihminen-kone -vuorovaikutus

Identifierade teman

computer science, information science, algorithms