A Grid-Enabled Problem Solving Environment for QTL Analysis in R. - Mahen Jayawardena; Carl Nettelblad; Salman Zubair Toor; Per-Olov Östberg; Erik Elmroth; Sverker Holmgren (BICoB, 2010)

The next-generation ARC middleware. - Owen Appleton; David G. Cameron; Jozef Cernák; Péter Dóbé; Mattias Ellert; Thomas Frågåt; Michael Grønager; Daniel Johansson; Johan Jönemo; Josva Kleist; Marek Kocan; Aleksandr Konstantinov; et al. (Ann. des Télécommunications, 2010)

Performance and Stability of the Chelonia Storage Cloud - Jon K. Nilsen; Salman Zubair Toor; Zsombor Nagy; Bjarte Mohn; Alexander L. Read (CoRR, 2010)

A Scalable Architecture for e-Science Data Management. - Salman Zubair Toor; Manivasakan Sabesan; Sverker Holmgren; Tore Risch (eScience, 2011)

Investigating an Open Source Cloud Storage Infrastructure for CERN-specific Data Analysis. - Salman Zubair Toor; Rainer Töebbicke; Maitane Zotes Resines; Sverker Holmgren (NAS, 2012)

Managing Applications and Data in Distributed Computing Infrastructures. - Salman Zubair Toor (2012)

Scientific Analysis by Queries in Extended SPARQL over a Scalable e-Science Data Store. - Andrej Andrejev; Salman Zubair Toor; Andreas Hellander; Sverker Holmgren; Tore Risch (e-Science, 2013)

MOLNs: A Cloud Platform for Interactive, Reproducible, and Scalable Spatial Stochastic Computational Experiments in Systems Biology Using PyURDME. - Brian Drawert; Michael Trogdon; Salman Zubair Toor; Linda R. Petzold; Andreas Hellander (SIAM J. Sci. Comput., 2016)

Cost-aware Application Development and Management using CLOUD-METRIC. - Alieu Jallow; Andreas Hellander; Salman Zubair Toor (CLOSER, 2017)

SNIC Science Cloud (SSC): A National-Scale Cloud Infrastructure for Swedish Academia. - Salman Zubair Toor; Mathias Lindberg; Ingemar Falman; Andreas Vallin; Olof Mohill; Pontus Freyhult; Linus Nilsson; Martin Agback; Lars Viklund; Henric Zazzik; Ola Spjuth; Marco Capuccini; et al. (eScience, 2017)

KubeNow: A Cloud Agnostic Platform for Microservice-Oriented Applications. - Marco Capuccini; Anders Larsson; Salman Zubair Toor; Ola Spjuth (ICCSW, 2017)

A Flexible Computational Framework Using R and Map-Reduce for Permutation Tests of Massive Genetic Analysis of Complex Traits. - Behrang Mahjani; Salman Zubair Toor; Carl Nettelblad; Sverker Holmgren (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

HarmonicIO: Scalable Data Stream Processing for Scientific Datasets. - Preechakorn Torruangwatthana; Håkan Wieslander; Ben Blamey; Andreas Hellander; Salman Zubair Toor (IEEE CLOUD, 2018)

BAMSI: a multi-cloud service for scalable distributed filtering of massive genome data. - Kristiina Ausmees; Aji John; Salman Zubair Toor; Andreas Hellander; Carl Nettelblad (BMC Bioinform., 2018)

KubeNow: an On-Demand Cloud-Agnostic Platform for Microservices-Based Research Environments. - Marco Capuccini; Anders Larsson; Matteo Carone; Jon Ander Novella; Noureddin Sadawi; Jianliang Gao; Salman Zubair Toor; Ola Spjuth (CoRR, 2018)

Apache Spark Streaming and HarmonicIO: A Performance and Architecture Comparison. - Ben Blamey; Andreas Hellander; Salman Zubair Toor (CoRR, 2018)

MaRe: Container-Based Parallel Computing with Data Locality. - Marco Capuccini; Salman Zubair Toor; Staffan Arvidsson; Ola Spjuth (CoRR, 2018)

Efficient iterative virtual screening with Apache Spark and conformal prediction. - Laeeq Ahmed; Valentin Georgiev; Marco Capuccini; Salman Zubair Toor; Wesley Schaal; Erwin Laure; Ola Spjuth (J. Cheminformatics, 2018)

Secure Cloud Connectivity for Scientific Applications. - Lirim Osmani; Salman Toor; Miika Komu; Matti J. Kortelainen; Tomas Lindén; John White; Rasib Hassan Khan; Paula Eerola; Sasu Tarkoma (IEEE Trans. Serv. Comput., 2018)

Apache Spark Streaming, Kafka and HarmonicIO: A Performance Benchmark and Architecture Comparison for Enterprise and Scientific Computing. - Ben Blamey; Andreas Hellander; Salman Toor (Bench, 2019)

Adapting the Secretary Hiring Problem for Optimal Hot-Cold Tier Placement Under Top-K Workloads. - Ben Blamey; Fredrik Wrede; Johan Karlsson; Andreas Hellander; Salman Toor (CCGRID, 2019)

Resource- and Message Size-Aware Scheduling of Stream Processing at the Edge with application to Realtime Microscopy. - Ben Blamey; Ida-Maria Sintorn; Andreas Hellander; Salman Toor (CoRR, 2019)

On-demand virtual research environments using microservices. - Marco Capuccini; Anders Larsson; Matteo Carone; Jon Ander Novella; Noureddin Sadawi; Jianliang Gao; Salman Toor; Ola Spjuth (PeerJ Comput. Sci., 2019)

Smart Resource Management for Data Streaming using an Online Bin-packing Strategy. - Oliver Stein; Ben Blamey; Johan Karlsson; Alan Sabirsh; Ola Spjuth; Andreas Hellander; Salman Toor (IEEE BigData, 2020)

Towards Smart e-Infrastructures, A Community Driven Approach Based on Real Datasets. - Prashant Singh; Mona Mohamed Elamin; Salman Toor (CoRR, 2020)

DecFL: An Ubiquitous Decentralized Model Training Protocol and Framework Empowered by Blockchain. - Felix Morsbach; Salman Toor (BSCI, 2021)

An Evaluation of Container Security Vulnerability Detection Tools. - Omar Javed; Salman Toor (ICCBDC, 2021)

Proactive autoscaling for edge computing systems with kubernetes. - Li Ju; Prashant Singh; Salman Toor (UCC Companion, 2021)

Understanding the Quality of Container Security Vulnerability Detection Tools. - Omar Javed; Salman Toor (CoRR, 2021)

Scalable federated machine learning with FEDn. - Morgan Ekmefjord; Addi Ait-Mlouk; Sadi Alawadi; Mattias Åkesson; Desislava Stoyanova; Ola Spjuth; Salman Toor; Andreas Hellander (CoRR, 2021)

To test, or not to test: A proactive approach for deciding complete performance test initiation. - Omar Javed; Prashant Singh; Giles Reger; Salman Toor (IEEE Big Data, 2022)

Scalable federated machine learning with FEDn. - Morgan Ekmefjord; Addi Ait-Mlouk; Sadi Alawadi; Mattias Åkesson; Prashant Singh; Ola Spjuth; Salman Toor; Andreas Hellander (CCGRID, 2022)

Efficient Hierarchical Storage Management Framework Empowered by Reinforcement Learning. - Tianru Zhang; Salman Toor; Andreas Hellander (CoRR, 2022)

FedQAS: Privacy-aware machine reading comprehension with federated learning. - Addi Ait-Mlouk; Sadi Alawadi; Salman Toor; Andreas Hellander (CoRR, 2022)

Efficient Resource Scheduling for Distributed Infrastructures Using Negotiation Capabilities. - Junjie Chu 002; Prashant Singh; Salman Toor (CLOUD, 2023)

Federated Machine Learning for Resource Allocation in Multi-domain Fog Ecosystems. - Weilin Zhang; Salman Toor; Mays F. Al-Naday (CloudNet, 2023)

Efficient Hierarchical Storage Management Empowered by Reinforcement Learning Extended Abstract. - Tianru Zhang; Andreas Hellander; Salman Toor (ICDE, 2023)

Service-based Federated Deep Reinforcement Learning for Anomaly Detection in Fog Ecosystems. - Mays F. Al-Naday; Martin J. Reed; Vlad Dobre; Salman Toor; Bruno Volckaert; Filip De Turck (ICIN, 2023)

Accelerating Fair Federated Learning: Adaptive Federated Adam. - Li Ju; Tianru Zhang; Salman Toor; Andreas Hellander (CoRR, 2023)

FedBot: Enhancing Privacy in Chatbots with Federated Learning. - Addi Ait-Mlouk; Sadi Alawadi; Salman Toor; Andreas Hellander (CoRR, 2023)

Efficient Hierarchical Storage Management Empowered by Reinforcement Learning. - Tianru Zhang; Andreas Hellander; Salman Toor (IEEE Trans. Knowl. Data Eng., 2023)

GNN-IDS: Graph Neural Network based Intrusion Detection System. - Zhenlu Sun; André M. H. Teixeira; Salman Toor (ARES, 2024)

Empowering Data Mesh with Federated Learning. - Haoyuan Li; Salman Toor (IEEE Big Data, 2024)

Data management of scientific applications in a reinforcement learning-based hierarchical storage system. - Tianru Zhang; Ankit Gupta 018; María Andreína Francisco Rodríguez; Ola Spjuth; Andreas Hellander; Salman Toor (Expert Syst. Appl., 2024)

Federated deep Q-learning networks for service-based anomaly detection and classification in edge-to-cloud ecosystems. - Mays F. Al-Naday; Vlad Dobre; Martin Reed 001; Salman Toor; Bruno Volckaert; Filip De Turck (Ann. des Télécommunications, 2024)

Toward efficient resource utilization at edge nodes in federated learning. - Sadi Alawadi; Addi Ait-Mlouk; Salman Toor; Andreas Hellander (Prog. Artif. Intell., 2024)

InfoHier: Hierarchical Information Extraction via Encoding and Embedding. - Tianru Zhang; Li Ju; Prashant Singh; Salman Toor (CoRR, 2025)

Robust Federated Learning Against Poisoning Attacks: A GAN-Based Defense Framework. - Usama Zafar; André Teixeira 001; Salman Toor (CoRR, 2025)

Bayesian Robust Aggregation for Federated Learning. - Aleksandr Karakulev; Usama Zafar; Salman Toor; Prashant Singh (CoRR, 2025)