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2020 – today
- 2024
[b1]Peini Liu:
Convergence of high performance computing, big data, and machine learning applications on containerized infrastructures. Polytechnic University of Catalonia, Spain, 2024- [c13]Gusseppe Bravo Rocca
, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison:
TADIL: Task-Agnostic Domain-Incremental Learning Through Task-ID Inference Using Transformer Nearest-Centroid Embeddings. ICPR (29) 2024: 337-353 - [i5]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:
Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows. CoRR abs/2410.14943 (2024) - 2023
- [c12]Peini Liu, Jordi Guitart, Amir Taherkordi:
Performance Characterization of Multi-Container Deployment Schemes for Online Learning Inference. CLOUD 2023: 330-340 - [i4]Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison:
TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID Inference using Transformer Nearest-Centroid Embeddings. CoRR abs/2306.11955 (2023) - 2022
- [j6]Peini Liu, Jordi Guitart:
Performance characterization of containerization for HPC workloads on InfiniBand clusters: an empirical study. Clust. Comput. 25(2): 847-868 (2022) - [j5]Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Jeffrey Falkanger, Miroslav Hodak:
Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debuggin. Expert Syst. Appl. 202: 117232 (2022) - [c11]Peini Liu, Gusseppe Bravo Rocca, Jordi Guitart, Ajay Dholakia, David Ellison, Miroslav Hodak:
Scanflow-K8s: Agent-based Framework for Autonomic Management and Supervision of ML Workflows in Kubernetes Clusters. CCGRID 2022: 376-385 - [c10]Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Miroslav Hodak:
Human-in-the-loop online multi-agent approach to increase trustworthiness in ML models through trust scores and data augmentation. COMPSAC 2022: 32-37 - [c9]Peini Liu, Jordi Guitart:
Fine-Grained Scheduling for Containerized HPC Workloads in Kubernetes Clusters. HPCC/DSS/SmartCity/DependSys 2022: 275-284 - [i3]Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Miroslav Hodak:
Human-in-the-loop online multi-agent approach to increase trustworthiness in ML models through trust scores and data augmentation. CoRR abs/2204.14255 (2022) - [i2]Peini Liu, Jordi Guitart:
Fine-Grained Scheduling for Containerized HPC Workloads in Kubernetes Clusters. CoRR abs/2211.11487 (2022) - 2021
- [j4]Peini Liu, Jordi Guitart:
Performance comparison of multi-container deployment schemes for HPC workloads: an empirical study. J. Supercomput. 77(6): 6273-6312 (2021) - [c8]Peini Liu, Gusseppe Bravo Rocca, Jordi Guitart, Ajay Dholakia, David Ellison, Miroslav Hodak:
Scanflow: an end-to-end agent-based autonomic ML workflow manager for clusters. Middleware Demos/Posters 2021: 1-2 - [i1]Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Jeffrey Falkanger, Miroslav Hodak:
Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debugging. CoRR abs/2111.03003 (2021)
2010 – 2019
- 2019
- [j3]Shuai Zhang, Xinjun Mao, Fu Hou, Peini Liu:
A field-based service management and discovery method in multiple clouds context. Frontiers Comput. Sci. 13(5): 976-995 (2019) - [c7]Peini Liu, Gusseppe Bravo Rocca, Jordi Guitart:
Energy-Aware Dynamic Pricing Model for Cloud Environments. GECON 2019: 71-80 - 2018
- [c6]Peini Liu, Xinjun Mao, Shuai Zhang, Fu Hou:
Towards Reference Architecture for a Multi-layer Controlled Self-adaptive Microservice System. SEKE 2018: 236-235 - [c5]Shuai Zhang, Xinjun Mao, Peini Liu, Fu Hou:
A Self-Adaptation Framework of Microservice Systems (S). SEKE 2018: 282-281 - [c4]Peini Liu, Xinjun Mao, Fu Hou, Shuai Zhang:
Generalized Nash Equilibrium Model of the Service Provisioning Problem in Multi-Cloud Competitions. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 1485-1490 - 2017
- [c3]Dingcheng Li, Peini Liu, Ming Huang, Yu Gu, Yue Zhang, Xiaodi Li, Daniel Dean, Xiaoxi Liu, Jingmin Xu, Hui Lei, Yaoping Ruan:
Mapping client messages to a unified data model with mixture feature embedding convolutional neural network. BIBM 2017: 386-391 - 2013
- [j2]Wei Wang, Hao Wang, Bo Yang, Liang Liu, Peini Liu, Guosun Zeng:
A Bayesian Network-Based Knowledge Engineering Framework for IT Service Management. IEEE Trans. Serv. Comput. 6(1): 76-88 (2013) - 2010
- [c2]Bo Yang, Peini Liu:
Value added on integrated solution of RFID enhanced asset traceability system. SOLI 2010: 330-335
2000 – 2009
- 2008
- [c1]Wei Wang, Hao Wang, Bo Yang, Liang Liu, Peini Liu, Guosun Zeng:
A Bayesian knowledge engineering framework for service management. NOMS 2008: 771-774 - 2004
- [j1]Li Feng, Xiaohong Guan, Sangang Guo, Yan Gao, Peini Liu:
Predicting the intrusion intentions by observing system call sequences. Comput. Secur. 23(3): 241-252 (2004)
Coauthor Index
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