Peini Liu

According to our database, Peini Liu authored at least 23 papers between 2004 and 2024.

Collaborative distances:

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

2024

Convergence of high performance computing, big data, and machine learning applications on containerized infrastructures

Peini Liu

PhD thesis, 2024

Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows.

Rafael Ferreira da Silva, Deborah Bard, Kyle Chard, Shaun De Witt, Ian T. Foster, Tom Gibbs, Carole A. Goble, William F. Godoy, Johan Gustafsson, Utz-Uwe Haus, Stephen Hudson, Shantenu Jha, Laila Los, Drew Paine, Frédéric Suter, Logan T. Ward, Sean R. Wilkinson, Marcos Amaris, Yadu N. Babuji, Jonathan Bader, Riccardo Balin, Daniel Balouek, Sarah J. Beecroft, Khalid Belhajjame, Rajat Bhattarai, Wes Brewer, Paul Brunk, Silvina Caíno-Lores, Henri Casanova, Daniela Cassol, Jared Coleman, Tainã Coleman, Iacopo Colonnelli, Anderson Andrei Da Silva, Daniel de Oliveira, Pascal Elahi, Nour Elfaramawy, Wael R. Elwasif, Brian Etz, Thomas Fahringer, Wesley Ferreira, Rosa Filgueira, Jacob Fosso Tande, Luiz Gadelha, Andy Gallo, Daniel Garijo, Yiannis Georgiou, Philipp Gritsch, Patricia Grubel, Amal Gueroudji, Quentin Guilloteau, Carlo Hamalainen, Rolando P. Hong Enriquez, Lauren Huet, Kevin Hunter Kesling, Paula Iborra, Shiva Jahangiri, Jan Janssen, Joe Jordan, Sehrish Kanwal, Liliane N. O. Kunstmann, Fabian Lehmann, Ulf Leser, Chen Li, Peini Liu, Jakob Lüttgau, Richard Lupat, José M. Fernández, Ketan Maheshwari, Tanu Malik, Jack Marquez, Motohiko Matsuda, Doriana Medic, Somayeh Mohammadi, Alberto Mulone, John-Luke Navarro, Kin Wai Ng, Klaus Nölp, Bruno de Paula Kinoshita, Ryan Prout, Michael R. Crusoe, Sashko Ristov, Stefan A Robila, Daniel Rosendo, Billy Rowell, Jedrzej Rybicki, Hector Sanchez, Nishant Saurabh, Sumit Kumar Saurav, Tom Scogland, Dinindu Senanayake, Woong Shin, Raül Sirvent, Tyler J. Skluzacek, Barry Sly-Delgado, Stian Soiland-Reyes, Abel Souza, Renan Souza, Domenico Talia, Nathan R. Tallent

CoRR, 2024

TADIL: Task-Agnostic Domain-Incremental Learning Through Task-ID Inference Using Transformer Nearest-Centroid Embeddings.

Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Data-Connector: An Agent-Based Framework for Autonomous ML-Based Smart Management in Cloud-Edge Continuum.

Peini Liu, Joan Oliveras Torra, Marc Palacín, Jordi Guitart, Josep Lluis Berral, Ramon Nou

Proceedings of the 32nd IEEE International Conference on Network Protocols, 2024

2023

Performance Characterization of Multi-Container Deployment Schemes for Online Learning Inference.

Peini Liu, Jordi Guitart, Amir Taherkordi

Proceedings of the 16th IEEE International Conference on Cloud Computing, 2023

2022

Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debuggin.

Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Jeffrey Falkanger, Miroslav Hodak

Expert Syst. Appl., 2022

Performance characterization of containerization for HPC workloads on InfiniBand clusters: an empirical study.

Peini Liu, Jordi Guitart

Clust. Comput., 2022

Fine-Grained Scheduling for Containerized HPC Workloads in Kubernetes Clusters.

Peini Liu, Jordi Guitart

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Human-in-the-loop online multi-agent approach to increase trustworthiness in ML models through trust scores and data augmentation.

Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Miroslav Hodak

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Scanflow-K8s: Agent-based Framework for Autonomic Management and Supervision of ML Workflows in Kubernetes Clusters.

Peini Liu, Gusseppe Bravo Rocca, Jordi Guitart, Ajay Dholakia, David Ellison, Miroslav Hodak

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

2021

Performance comparison of multi-container deployment schemes for HPC workloads: an empirical study.

Peini Liu, Jordi Guitart

J. Supercomput., 2021

Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debugging.

Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Jeffrey Falkanger, Miroslav Hodak

CoRR, 2021

Scanflow: an end-to-end agent-based autonomic ML workflow manager for clusters.

Peini Liu, Gusseppe Bravo Rocca, Jordi Guitart, Ajay Dholakia, David Ellison, Miroslav Hodak

Proceedings of the Middleware '21: Proceedings of the 22nd International Middleware Conference: Demos and Posters, Virtual Event / Québec City, Canada, December 6, 2021

2019

A field-based service management and discovery method in multiple clouds context.

Shuai Zhang, Xinjun Mao, Fu Hou, Peini Liu

Frontiers Comput. Sci., 2019

Energy-Aware Dynamic Pricing Model for Cloud Environments.

Peini Liu, Gusseppe Bravo Rocca, Jordi Guitart

Proceedings of the Economics of Grids, Clouds, Systems, and Services, 2019

2018

Generalized Nash Equilibrium Model of the Service Provisioning Problem in Multi-Cloud Competitions.

Peini Liu, Xinjun Mao, Fu Hou, Shuai Zhang

Proceedings of the 2018 IEEE SmartWorld, 2018

A Self-Adaptation Framework of Microservice Systems (S).

Shuai Zhang, Xinjun Mao, Peini Liu, Fu Hou

Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering, 2018

Towards Reference Architecture for a Multi-layer Controlled Self-adaptive Microservice System.

Peini Liu, Xinjun Mao, Shuai Zhang, Fu Hou

Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering, 2018

2017

Mapping client messages to a unified data model with mixture feature embedding convolutional neural network.

Dingcheng Li, Peini Liu, Ming Huang, Yu Gu, Yue Zhang, Xiaodi Li, Daniel Dean, Xiaoxi Liu, Jingmin Xu, Hui Lei, Yaoping Ruan

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2013

A Bayesian Network-Based Knowledge Engineering Framework for IT Service Management.

Wei Wang, Hao Wang, Bo Yang, Liang Liu, Peini Liu, Guosun Zeng

IEEE Trans. Serv. Comput., 2013

2010

Value added on integrated solution of RFID enhanced asset traceability system.

Bo Yang, Peini Liu

Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, 2010

2008

A Bayesian knowledge engineering framework for service management.

Wei Wang, Hao Wang, Bo Yang, Liang Liu, Peini Liu, Guosun Zeng

Proceedings of the IEEE/IFIP Network Operations and Management Symposium: Pervasive Management for Ubioquitous Networks and Services, 2008

2004

Predicting the intrusion intentions by observing system call sequences.

Li Feng, Xiaohong Guan, Sangang Guo, Yan Gao, Peini Liu

Comput. Secur., 2004