Salman Zubair Toor

Orcid: 0000-0003-0302-6276

According to our database1, Salman Zubair Toor authored at least 43 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Data management of scientific applications in a reinforcement learning-based hierarchical storage system.
Expert Syst. Appl., March, 2024

Empowering Data Mesh with Federated Learning.
CoRR, 2024

2023
Efficient Hierarchical Storage Management Empowered by Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., June, 2023

Toward efficient resource utilization at edge nodes in federated learning.
CoRR, 2023

FedBot: Enhancing Privacy in Chatbots with Federated Learning.
CoRR, 2023

Accelerating Fair Federated Learning: Adaptive Federated Adam.
CoRR, 2023

Service-based Federated Deep Reinforcement Learning for Anomaly Detection in Fog Ecosystems.
Proceedings of the 26th Conference on Innovation in Clouds, Internet and Networks, 2023

Efficient Hierarchical Storage Management Empowered by Reinforcement Learning Extended Abstract.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Efficient Resource Scheduling for Distributed Infrastructures Using Negotiation Capabilities.
Proceedings of the 16th IEEE International Conference on Cloud Computing, 2023

2022
FedQAS: Privacy-aware machine reading comprehension with federated learning.
CoRR, 2022

Efficient Hierarchical Storage Management Framework Empowered by Reinforcement Learning.
CoRR, 2022

Scalable federated machine learning with FEDn.
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

To test, or not to test: A proactive approach for deciding complete performance test initiation.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Scalable federated machine learning with FEDn.
CoRR, 2021

Understanding the Quality of Container Security Vulnerability Detection Tools.
CoRR, 2021

Proactive autoscaling for edge computing systems with kubernetes.
Proceedings of the UCC '21: 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing, Leicester, United Kingdom, December 6 - 9, 2021, 2021

An Evaluation of Container Security Vulnerability Detection Tools.
Proceedings of the ICCBDC 2021: 5th International Conference on Cloud and Big Data Computing, Liverpool, United Kingdom, August 13, 2021

DecFL: An Ubiquitous Decentralized Model Training Protocol and Framework Empowered by Blockchain.
Proceedings of the BSCI '21: Proceedings of the 3rd ACM International Symposium on Blockchain and Secure Critical Infrastructure, 2021

2020
Towards Smart e-Infrastructures, A Community Driven Approach Based on Real Datasets.
CoRR, 2020

Smart Resource Management for Data Streaming using an Online Bin-packing Strategy.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
On-demand virtual research environments using microservices.
PeerJ Comput. Sci., 2019

Resource- and Message Size-Aware Scheduling of Stream Processing at the Edge with application to Realtime Microscopy.
CoRR, 2019

Adapting the Secretary Hiring Problem for Optimal Hot-Cold Tier Placement Under Top-K Workloads.
Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

Apache Spark Streaming, Kafka and HarmonicIO: A Performance Benchmark and Architecture Comparison for Enterprise and Scientific Computing.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2019

2018
Secure Cloud Connectivity for Scientific Applications.
IEEE Trans. Serv. Comput., 2018

Efficient iterative virtual screening with Apache Spark and conformal prediction.
J. Cheminformatics, 2018

MaRe: Container-Based Parallel Computing with Data Locality.
CoRR, 2018

Apache Spark Streaming and HarmonicIO: A Performance and Architecture Comparison.
CoRR, 2018

KubeNow: an On-Demand Cloud-Agnostic Platform for Microservices-Based Research Environments.
CoRR, 2018

BAMSI: a multi-cloud service for scalable distributed filtering of massive genome data.
BMC Bioinform., 2018

HarmonicIO: Scalable Data Stream Processing for Scientific Datasets.
Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017
A Flexible Computational Framework Using R and Map-Reduce for Permutation Tests of Massive Genetic Analysis of Complex Traits.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

KubeNow: A Cloud Agnostic Platform for Microservice-Oriented Applications.
Proceedings of the 2017 Imperial College Computing Student Workshop, 2017

SNIC Science Cloud (SSC): A National-Scale Cloud Infrastructure for Swedish Academia.
Proceedings of the 13th IEEE International Conference on e-Science, 2017

Cost-aware Application Development and Management using CLOUD-METRIC.
Proceedings of the CLOSER 2017, 2017

2016
MOLNs: A Cloud Platform for Interactive, Reproducible, and Scalable Spatial Stochastic Computational Experiments in Systems Biology Using PyURDME.
SIAM J. Sci. Comput., 2016

2013
Scientific Analysis by Queries in Extended SPARQL over a Scalable e-Science Data Store.
Proceedings of the 9th IEEE International Conference on eScience, 2013

2012
Managing Applications and Data in Distributed Computing Infrastructures.
PhD thesis, 2012

Investigating an Open Source Cloud Storage Infrastructure for CERN-specific Data Analysis.
Proceedings of the Seventh IEEE International Conference on Networking, 2012

2011
A Scalable Architecture for e-Science Data Management.
Proceedings of the IEEE 7th International Conference on E-Science, 2011

2010
Performance and Stability of the Chelonia Storage Cloud
CoRR, 2010

The next-generation ARC middleware.
Ann. des Télécommunications, 2010

A Grid-Enabled Problem Solving Environment for QTL Analysis in R.
Proceedings of the ISCA 2nd International Conference on Bioinformatics and Computational Biology, 2010


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