Salman Toor
Universitetslektor vid Institutionen för informationsteknologi; Beräkningsvetenskap
- Telefon:
- 018-471 10 12
- Mobiltelefon:
- 073-703 15 39
- E-post:
- salman.toor@it.uu.se
- Besöksadress:
- Hus 10, Regementsvägen 10
- Postadress:
- Box 337
751 05 UPPSALA
- Akademiska meriter:
- Docent
- CV:
- Ladda ned CV
Kort presentation
Salman Toor is Associate Professor in Scientific Computing at Uppsala University. He is an expert in the field of distributed computing infrastructures and applied machine learning. Toor is the co-chair of the Integrative Scalable Computing Lab (ISCL) at Uppsala University and co-founder and CTO at Scaleout Systems AB. He has supervised and reviewed more than forty master thesis projects and is currently the principal supervisor of two Ph.D students.
Nyckelord
- big data
- cloud computing
- distributed computing infrastructures
- federated machine learning
- system scalability and performance
Publikationer
Urval av publikationer
Scientific analysis by queries in extended SPARQL over a scalable e-Science data store
Ingår i Proc. 9th International Conference on e-Science, s. 98-106, 2013
Managing Applications and Data in Distributed Computing Infrastructures
2012
Investigating an open source cloud storage infrastructure for CERN-specific data analysis
Ingår i Proc. 7th International Conference on Networking, Architecture, and Storage, s. 84-88, 2012
Empowering a flexible application portal with a SOA-based grid job management framework
2008
Senaste publikationer
Accelerating Fair Federated Learning: Adaptive Federated Adam
Ingår i IEEE Transactions on Machine Learning in Communications and Networking, s. 1017-1032, 2024
- DOI för Accelerating Fair Federated Learning: Adaptive Federated Adam
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Ingår i Expert systems with applications, s. 121443-121443, 2024
GNN-IDS: Graph Neural Network based Intrusion Detection System
Ingår i Proceedings of the 19th International Conference on Availability, Reliability and Security, 2024
- DOI för GNN-IDS: Graph Neural Network based Intrusion Detection System
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Ingår i Expert systems with applications, 2024
- DOI för Data management of scientific applications in a reinforcement learning-based hierarchical storage system
- Ladda ner fulltext (pdf) av Data management of scientific applications in a reinforcement learning-based hierarchical storage system
Toward efficient resource utilization at edge nodes in federated learning
Ingår i Progress in Artificial Intelligence, s. 101-117, 2024
- DOI för Toward efficient resource utilization at edge nodes in federated learning
- Ladda ner fulltext (pdf) av Toward efficient resource utilization at edge nodes in federated learning
Alla publikationer
Artiklar i tidskrift
Accelerating Fair Federated Learning: Adaptive Federated Adam
Ingår i IEEE Transactions on Machine Learning in Communications and Networking, s. 1017-1032, 2024
- DOI för Accelerating Fair Federated Learning: Adaptive Federated Adam
- Ladda ner fulltext (pdf) av Accelerating Fair Federated Learning: Adaptive Federated Adam
Ingår i Expert systems with applications, s. 121443-121443, 2024
Ingår i Expert systems with applications, 2024
- DOI för Data management of scientific applications in a reinforcement learning-based hierarchical storage system
- Ladda ner fulltext (pdf) av Data management of scientific applications in a reinforcement learning-based hierarchical storage system
Toward efficient resource utilization at edge nodes in federated learning
Ingår i Progress in Artificial Intelligence, s. 101-117, 2024
- DOI för Toward efficient resource utilization at edge nodes in federated learning
- Ladda ner fulltext (pdf) av Toward efficient resource utilization at edge nodes in federated learning
Efficient Hierarchical Storage Management Empowered by Reinforcement Learning
Ingår i IEEE Transactions on Knowledge and Data Engineering, s. 5780-5793, 2023
FedQAS: Privacy-Aware Machine Reading Comprehension with Federated Learning
Ingår i Applied Sciences, 2022
- DOI för FedQAS: Privacy-Aware Machine Reading Comprehension with Federated Learning
- Ladda ner fulltext (pdf) av FedQAS: Privacy-Aware Machine Reading Comprehension with Federated Learning
Ingår i GigaScience, s. 1-14, 2021
- DOI för Rapid development of cloud-native intelligent data pipelines for scientific data streams using the HASTE Toolkit
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MaRe: Processing Big Data with application containers on Apache Spark
Ingår i GigaScience, 2020
- DOI för MaRe: Processing Big Data with application containers on Apache Spark
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On-demand virtual research environments using microservices
Ingår i PeerJ Computer Science, 2019
BAMSI: a multi-cloud service for scalable distributed filtering of massive genome data
Ingår i BMC Bioinformatics, 2018
Efficient iterative virtual screening with Apache Spark and conformal prediction
Ingår i Journal of Cheminformatics, 2018
Ingår i IEEE/ACM Transactions on Computational Biology & Bioinformatics, s. 381-392, 2017
Ingår i SIAM Journal on Scientific Computing, 2016
QTL as a service: PruneDIRECT for multi-dimensional QTL scans in cloud settings
Ingår i Bioinformatics, 2016
The next-generation ARC middleware
Ingår i Annales des télécommunications, s. 771-776, 2010
Doktorsavhandlingar, sammanläggning
Konferensbidrag
GNN-IDS: Graph Neural Network based Intrusion Detection System
Ingår i Proceedings of the 19th International Conference on Availability, Reliability and Security, 2024
- DOI för GNN-IDS: Graph Neural Network based Intrusion Detection System
- Ladda ner fulltext (pdf) av GNN-IDS: Graph Neural Network based Intrusion Detection System
Federated Machine Learning for Resource Allocation in Multi-domain Fog Ecosystems
Ingår i 2023 IEEE 12th International Conference on Cloud Networking, CLOUDNET, s. 290-298, 2023
Efficient Hierarchical Storage Management Empowered by Reinforcement Learning Extended Abstract
s. 3869-3870, 2023
Efficient Resource Scheduling for Distributed Infrastructures using Negotiation Capabilities
Ingår i 2023 IEEE 16th International Conference on Cloud Computing (CLOUD), s. 486-492, 2023
Service-based Federated Deep Reinforcement Learning for Anomaly Detection in Fog Ecosystems
Ingår i 2023 26th Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN), s. 121-128, 2023
To test, or not to test: A proactive approach for deciding complete performance test initiation
Ingår i BIG-DATA 2022, s. 4758-4767, 2022
Scalable federated machine learning with FEDn
Ingår i 2022 22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2022), s. 555-564, 2022
An Evaluation of Container Security Vulnerability Detection Tools
s. 95-101, 2021
Proactive Autoscaling for Edge Computing Systems with Kubernetes
2021
DecFL: An Ubiquitous Decentralized Model Training Protocol and Framework Empowered by Blockchain
Ingår i BSCI '21, s. 61-70, 2021
Towards Smart e-Infrastructures, A Community Driven Approach Based on Real Datasets
Ingår i Proceedings of the 2020 IEEE Green Technologies Conference (GreenTech), s. 109-114, 2020
Smart Resource Management for Data Streaming using an Online Bin-packing Strategy
Ingår i 2020 IEEE International Conference on Big Data (Big Data), s. 2207-2216, 2020
Ingår i Benchmarking, Measuring, and Optimizing, s. 335-347, 2020
Adapting the secretary hiring problem for optimal hot–cold tier placement under top-K workloads
Ingår i Proc. 19th International Symposium on Cluster, Cloud, and Grid Computing, s. 576-583, 2019
HarmonicIO: Scalable data stream processing for scientific datasets
Ingår i Proc. 11th International Conference on Cloud Computing, s. 879-882, 2018
Cost-aware application development and management using CLOUD-METRIC
Ingår i Proc. 7th International Conference on Cloud Computing and Services Science, s. 515-522, 2017
SNIC Science Cloud (SSC): A national-scale cloud infrastructure for Swedish academia
Ingår i Proc. 13th International Conference on e-Science, s. 219-227, 2017
Scientific analysis by queries in extended SPARQL over a scalable e-Science data store
Ingår i Proc. 9th International Conference on e-Science, s. 98-106, 2013
Investigating an open source cloud storage infrastructure for CERN-specific data analysis
Ingår i Proc. 7th International Conference on Networking, Architecture, and Storage, s. 84-88, 2012
Performance and stability of the Chelonia storage system
Ingår i Proc. International Symposium on Grids and Clouds 2012, 2012
A scalable architecture for e-Science data management
Ingår i Proc. 7th International Conference on e-Science, s. 210-217, 2011
A Grid-Enabled Problem Solving Environment for QTL Analysis in R
Ingår i Proc. 2nd International Conference on Bioinformatics and Computational Biology, s. 202-209, 2010
Chelonia — a self-healing storage cloud
Ingår i Proc. 9th Cracow Grid Workshop, s. 5-12, 2010
A grid portal for genetic analysis of complex traits
Ingår i Proc. 32nd International Convention on Information and Communication Technology, Electronics and Microelectronics, s. 281-284, 2009
Empowering a flexible application portal with a SOA-based grid job management framework
2008