Peini Liu

34 papers A 1B 9C 2Misc 1Journal 12Unranked 8
YearRankTypeTitle / Venue / Authors
2025 B conf
Coupling Orchestration and DNS for Seamless Service Migration in the Edge-Cloud Continuum.
ICNP
Michail Dalgitsis, Eftychia G. Datsika, Marc Palacín, Peini Liu, Javier Santaella Sánchez, Maria A. Serrano, Angelos Antonopoulos
2025 B conf
Dynamic In-node Group-Aware Scheduling for Multi-Tenant Machine Learning Services on Kubernetes.
CLOUD
Peini Liu, Jordi Guitart
2025 — conf
Experience Replay and Zero-Shot Clustering for Continual Learning in Diabetic Retinopathy Detection.
VISIGRAPP (2): VISAPP
Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Rodrigo M. Carrillo-Larco
2025 A conf
Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring.
AAMAS
Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Rodrigo M. Carrillo-Larco, Ajay Dholakia, David Ellison
2025 J jnl
Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring.
CoRR
Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Rodrigo M. Carrillo-Larco, Ajay Dholakia, David Ellison
2025 Misc conf
GreenWise: Intelligent Application Migration for Containerized Machine Learning Services in the Computing Continuum.
UCC
Peini Liu, José Santos, Filip De Turck, Jordi Guitart
2025 B conf
Integrating Reliability into Intent-Driven Orchestration on Kubernetes-based Edge Nodes.
ICNP
Josep Lluís Berral, David Aguilera-Luzón, Peini Liu, Ramon Nou, Maria A. Serrano, Angelos Antonopoulos, Javier Santaella Sánchez, Mario José Diván
2025 B conf
Mobility Usecase: Intelligent Service Migration in Cloud-Edge Continuum.
ICNP
Peini Liu, Joan Oliveras Torra, Marc Palacín, Michail Dalgitsis, Maria A. Serrano, Eftychia G. Datsika, Angelos Antonopoulos, Javier Santaella Sánchez, Jordi Guitart, Josep Lluís Berral, Ramon Nou
2024 — —
Convergence of high performance computing, big data, and machine learning applications on containerized infrastructures
Peini Liu
2024 B conf
Data-Connector: An Agent-Based Framework for Autonomous ML-Based Smart Management in Cloud-Edge Continuum.
ICNP
Peini Liu, Joan Oliveras Torra, Marc Palacín, Jordi Guitart, Josep Lluis Berral, Ramon Nou
2024 — conf
TADIL: Task-Agnostic Domain-Incremental Learning Through Task-ID Inference Using Transformer Nearest-Centroid Embeddings.
ICPR (29)
Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison
2024 J jnl
Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows.
CoRR
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
2023 B conf
Performance Characterization of Multi-Container Deployment Schemes for Online Learning Inference.
CLOUD
Peini Liu, Jordi Guitart, Amir Taherkordi
2023 J jnl
TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID Inference using Transformer Nearest-Centroid Embeddings.
CoRR
Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison
2022 — conf
Fine-Grained Scheduling for Containerized HPC Workloads in Kubernetes Clusters.
HPCC/DSS/SmartCity/DependSys
Peini Liu, Jordi Guitart
2022 J jnl
Fine-Grained Scheduling for Containerized HPC Workloads in Kubernetes Clusters.
CoRR
Peini Liu, Jordi Guitart
2022 B conf
Human-in-the-loop online multi-agent approach to increase trustworthiness in ML models through trust scores and data augmentation.
COMPSAC
Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Miroslav Hodak
2022 J jnl
Human-in-the-loop online multi-agent approach to increase trustworthiness in ML models through trust scores and data augmentation.
CoRR
Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Miroslav Hodak
2022 J jnl
Performance characterization of containerization for HPC workloads on InfiniBand clusters: an empirical study.
Clust. Comput.
Peini Liu, Jordi Guitart
2022 B conf
Scanflow-K8s: Agent-based Framework for Autonomic Management and Supervision of ML Workflows in Kubernetes Clusters.
CCGRID
Peini Liu, Gusseppe Bravo Rocca, Jordi Guitart, Ajay Dholakia, David Ellison, Miroslav Hodak
2022 J jnl
Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debuggin.
Expert Syst. Appl.
Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Jeffrey Falkanger, Miroslav Hodak
2021 J jnl
Performance comparison of multi-container deployment schemes for HPC workloads: an empirical study.
J. Supercomput.
Peini Liu, Jordi Guitart
2021 J jnl
Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debugging.
CoRR
Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Jeffrey Falkanger, Miroslav Hodak
2021 — conf
Scanflow: an end-to-end agent-based autonomic ML workflow manager for clusters.
Middleware Demos/Posters
Peini Liu, Gusseppe Bravo Rocca, Jordi Guitart, Ajay Dholakia, David Ellison, Miroslav Hodak
2019 J jnl
A field-based service management and discovery method in multiple clouds context.
Frontiers Comput. Sci.
Shuai Zhang, Xinjun Mao, Fu Hou, Peini Liu
2019 — conf
Energy-Aware Dynamic Pricing Model for Cloud Environments.
GECON
Peini Liu, Gusseppe Bravo Rocca, Jordi Guitart
2018 C conf
A Self-Adaptation Framework of Microservice Systems (S).
SEKE
Shuai Zhang, Xinjun Mao, Peini Liu, Fu Hou
2018 — conf
Generalized Nash Equilibrium Model of the Service Provisioning Problem in Multi-Cloud Competitions.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Peini Liu, Xinjun Mao, Fu Hou, Shuai Zhang
2018 C conf
Towards Reference Architecture for a Multi-layer Controlled Self-adaptive Microservice System.
SEKE
Peini Liu, Xinjun Mao, Shuai Zhang, Fu Hou
2017 — conf
Mapping client messages to a unified data model with mixture feature embedding convolutional neural network.
BIBM
Dingcheng Li, Peini Liu, Ming Huang, Yu Gu, Yue Zhang, Xiaodi Li, Daniel Dean, Xiaoxi Liu, Jingmin Xu, Hui Lei, Yaoping Ruan
2013 J jnl
A Bayesian Network-Based Knowledge Engineering Framework for IT Service Management.
IEEE Trans. Serv. Comput.
Wei Wang, Hao Wang, Bo Yang, Liang Liu, Peini Liu, Guosun Zeng
2010 — conf
Value added on integrated solution of RFID enhanced asset traceability system.
SOLI
Bo Yang, Peini Liu
2008 B conf
A Bayesian knowledge engineering framework for service management.
NOMS
Wei Wang, Hao Wang, Bo Yang, Liang Liu, Peini Liu, Guosun Zeng
2004 J jnl
Predicting the intrusion intentions by observing system call sequences.
Comput. Secur.
Li Feng, Xiaohong Guan, Sangang Guo, Yan Gao, Peini Liu