Bashir Mohammed

Orcid: 0000-0002-0796-2195

According to our database1, Bashir Mohammed authored at least 24 papers between 2014 and 2021.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Predicting WAN traffic volumes using Fourier and multivariate SARIMA approach.
Int. J. Big Data Intell., 2021

NetGraf: A Collaborative Network Monitoring Stack for Network Experimental Testbeds.
CoRR, 2021

DynamicDeepFlow: An Approach for Identifying Changes in Network Traffic Flow Using Unsupervised Clustering.
Proceedings of the Machine Learning for Networking - 4th International Conference, 2021

NetGraf: An End-to-End Learning Network Monitoring Service.
Proceedings of the IEEE Workshop on Innovating the Network for Data-Intensive Science, 2021

2020
Dynamic Graph Neural Network for Traffic Forecasting in Wide Area Networks.
CoRR, 2020

Using Machine Learning for Intent-based provisioning in High-Speed Science Networks.
Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics, 2020

Data-driven Learning to Predict WAN Network Traffic.
Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics, 2020

2019
A framework for efficient management of fault tolerance in cloud data centres and high-performance computing systems: an investigation and performance analysis of a cloud based virtual machine success and failure rate in a typical cloud computing environment and prediction methods.
PhD thesis, 2019

Failure prediction using machine learning in a virtualised HPC system and application.
Clust. Comput., 2019

DeepRoute: Herding Elephant and Mice Flows with Reinforcement Learning.
Proceedings of the Machine Learning for Networking, 2019

DeepRoute on Chameleon: Experimenting with Large-scale Reinforcement Learning and SDN on Chameleon Testbed.
Proceedings of the 27th IEEE International Conference on Network Protocols, 2019

A Framework for Distributed Denial of Service Attack Detection and Reactive Countermeasure in Software Defined Network.
Proceedings of the 7th International Conference on Future Internet of Things and Cloud, 2019

Distributed Network Behaviour Prediction Using Machine Learning and Agent-Based Micro Simulation.
Proceedings of the 7th International Conference on Future Internet of Things and Cloud, 2019

Multivariate Time-Series Prediction for Traffic in Large WAN Topology.
Proceedings of the 2019 ACM/IEEE Symposium on Architectures for Networking and Communications Systems, 2019

2017
Failover strategy for fault tolerance in cloud computing environment.
Softw. Pract. Exp., 2017

Failure Analysis Modelling in an Infrastructure as a Service (Iaas) Environment.
Proceedings of the thirty third Annual UK Performance Engineering Workshops, 2017

Technical Report on Deploying a highly secured OpenStack Cloud Infrastructure using BradStack as a Case Study.
CoRR, 2017

Performance Modelling and Analysis of an OpenStack IaaS Cloud Computing Platform.
Proceedings of the 5th IEEE International Conference on Future Internet of Things and Cloud, 2017

An Approach to Failure Prediction in a Cloud Based Environment.
Proceedings of the 5th IEEE International Conference on Future Internet of Things and Cloud, 2017

2016
An Integrated Virtualized Strategy for Fault Tolerance in Cloud Computing Environment.
Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 2016

Optimising Fault Tolerance in Real-Time Cloud Computing IaaS Environment.
Proceedings of the 4th IEEE International Conference on Future Internet of Things and Cloud, 2016

2015
Agent-Based Modelling as a Service on Amazon EC2: Opportunities and Challenges.
Proceedings of the 8th IEEE/ACM International Conference on Utility and Cloud Computing, 2015

Analysis of Cloud Test Beds Using OpenSource Solutions.
Proceedings of the 3rd International Conference on Future Internet of Things and Cloud, 2015

2014
Experimental Report on Setting up a Cloud Computing Environment at the University of Bradford.
CoRR, 2014


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