Anna Giannakou

According to our database, Anna Giannakou authored at least 17 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Automated annotation of scientific texts for ML-based keyphrase extraction and validation.

Oluwamayowa O. Amusat, Harshad Hegde, Christopher J. Mungall, Anna Giannakou, Neil P. Byers, Dan Gunter, Kjiersten Fagnan, Lavanya Ramakrishnan

Database J. Biol. Databases Curation, January, 2024

SCIPIS: Scalable and concurrent persistent indexing and search in high-end computing systems.

Alexandru Iulian Orhean, Anna Giannakou, Lavanya Ramakrishnan, Kyle Chard, Boris Glavic, Ioan Raicu

J. Parallel Distributed Comput., 2024

Understanding Data Movement Patterns in HPC: A NERSC Case Study.

Anna Giannakou, Damian Hazen, Bjoern Enders, Lavanya Ramakrishnan, Nicholas J. Wright

Proceedings of the International Conference for High Performance Computing, 2024

2022

Evaluation of a scientific data search infrastructure.

Alexandru Iulian Orhean, Anna Giannakou, Katie Antypas, Ioan Raicu, Lavanya Ramakrishnan

Concurr. Comput. Pract. Exp., 2022

Analysis of NVMe over fabrics with SCinet DTN-as-a-Service.

Se-Young Yu, Jim Hao Chen, Fei Yeh, Joe Mambretti, Xiao Wang, Anna Giannakou, Eric Pouyoul, Marc Lyonnais

Clust. Comput., 2022

SCANNS: Towards Scalable and Concurrent Data Indexing and Searching in High-End Computing System.

Alexandru Iulian Orhean, Anna Giannakou, Lavanya Ramakrishnan, Kyle Chard, Ioan Raicu

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021

Experiences with Cross-Facility Real-Time Light Source Data Analysis Workflows.

Anna Giannakou, Johannes P. Blaschke, Deborah Bard, Lavanya Ramakrishnan

Proceedings of the IEEE/ACM HPC for Urgent Decision Making, 2021

Performance Analysis of Scientific Computing Workloads on General Purpose TEEs.

Ayaz Akram, Anna Giannakou, Venkatesh Akella, Jason Lowe-Power, Sean Peisert

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

2020

A machine learning approach for packet loss prediction in science flows.

Anna Giannakou, Dipankar Dwivedi, Sean Peisert

Future Gener. Comput. Syst., 2020

Performance Analysis of Scientific Computing Workloads on Trusted Execution Environments.

Ayaz Akram, Anna Giannakou, Venkatesh Akella, Jason Lowe-Power, Sean Peisert

CoRR, 2020

2019

SCinet DTN-as-a-Service Framework.

Se-Young Yu, Jim Hao Chen, Fei Yeh, Joe Mambretti, Xiao Wang, Anna Giannakou, Eric Pouyoul, Marc Lyonnais

Proceedings of the 2019 IEEE/ACM Innovating the Network for Data-Intensive Science, 2019

2018

Flowzilla: A Methodology for Detecting Data Transfer Anomalies in Research Networks.

Anna Giannakou, Daniel Gunter, Sean Peisert

Proceedings of the 5th IEEE/ACM International Workshop on Innovating the Network for Data-Intensive Science, 2018

Automatic Reconfiguration of NIDSs in IaaS Clouds with SAIDS.

Anna Giannakou, Louis Rilling, Christine Morin, Jean-Louis Pazat

Proceedings of the 2018 IEEE International Conference on Cloud Computing Technology and Science, 2018

SAIDS: A Self-Adaptable Intrusion Detection System for IaaS Clouds.

Anna Giannakou, Louis Rilling, Christine Morin, Jean-Louis Pazat

Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018

2017

Self-adaptable Security Monitoring for IaaS Cloud Environments. (Supervision de la sécurité auto-adaptative dans les clouds IaaS).

Anna Giannakou

PhD thesis, 2017

2016

AL-SAFE: A Secure Self-Adaptable Application-Level Firewall for IaaS Clouds.

Anna Giannakou, Louis Rilling, Jean-Louis Pazat, Christine Morin

Proceedings of the 2016 IEEE International Conference on Cloud Computing Technology and Science, 2016

2015

Towards Self Adaptable Security Monitoring in IaaS Clouds.

Anna Giannakou, Louis Rilling, Jean-Louis Pazat, Frédéric Majorczyk, Christine Morin

Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015