Experimental Report on Setting up a Cloud Computing Environment at the University of Bradford. - Bashir Mohammed; Mariam Kiran (CoRR, 2014)

Analysis of Cloud Test Beds Using OpenSource Solutions. - Bashir Mohammed; Mariam Kiran (FiCloud, 2015)

Agent-Based Modelling as a Service on Amazon EC2: Opportunities and Challenges. - Mariam Kiran; Kabiru Maiyama; Haroon Mir; Bashir Mohammed; Ashraf Al-Ou'n (UCC, 2015)

Optimising Fault Tolerance in Real-Time Cloud Computing IaaS Environment. - Bashir Mohammed; Mariam Kiran; Irfan-Ullah Awan; Kabiru M. Maiyama (FiCloud, 2016)

An Integrated Virtualized Strategy for Fault Tolerance in Cloud Computing Environment. - Bashir Mohammed; Mariam Kiran; Irfan-Ullah Awan; Kabiru M. Maiyama (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld, 2016)

An Approach to Failure Prediction in a Cloud Based Environment. - Adamu Hussaini; Bashir Mohammed; Ali Maina Bukar; Andrea J. Cullen; Hassan Ugail; Irfan Awan (FiCloud, 2017)

Performance Modelling and Analysis of an OpenStack IaaS Cloud Computing Platform. - Kabiru Muhammad Maiyama; Demetres D. Kouvatsos; Bashir Mohammed; Mariam Kiran; Mumtaz Ahmed Kamala (FiCloud, 2017)

Technical Report on Deploying a highly secured OpenStack Cloud Infrastructure using BradStack as a Case Study. - Bashir Mohammed; Sibusiso Moyo; Kabiru M. Maiyama; Sulayman Kinteh; Al Noaman M. K. Al-Shaidy; Mumtaz Ahmed Kamala; Mariam Kiran (CoRR, 2017)

Failure Analysis Modelling in an Infrastructure as a Service (Iaas) Environment. - Bashir Mohammed; Babagana Modu; Kabiru M. Maiyama; Hassan Ugail; Irfan Awan; Mariam Kiran (UKPEW, 2017)

Failover strategy for fault tolerance in cloud computing environment. - Bashir Mohammed; Mariam Kiran; Kabiru M. Maiyama; Mumtaz M. Kamala; Irfan-Ullah Awan (Softw. Pract. Exp., 2017)

Multivariate Time-Series Prediction for Traffic in Large WAN Topology. - Bashir Mohammed; Nandini Krishnaswamy; Mariam Kiran (ANCS, 2019)

Distributed Network Behaviour Prediction Using Machine Learning and Agent-Based Micro Simulation. - Omololu Makinde; Abimbola Sangodoyin; Bashir Mohammed; Daniel Neagu; Umaru Adamu (FiCloud, 2019)

A Framework for Distributed Denial of Service Attack Detection and Reactive Countermeasure in Software Defined Network. - Abimbola Sangodoyin; Bashir Mohammed; Sibusiso Moyo; Irfan Awan; Jules Pagna Disso (FiCloud, 2019)

DeepRoute on Chameleon: Experimenting with Large-scale Reinforcement Learning and SDN on Chameleon Testbed. - Bashir Mohammed; Mariam Kiran; Nandini Krishnaswamy (ICNP, 2019)

DeepRoute: Herding Elephant and Mice Flows with Reinforcement Learning. - Mariam Kiran; Bashir Mohammed; Nandini Krishnaswamy (MLN, 2019)

Failure prediction using machine learning in a virtualised HPC system and application. - Bashir Mohammed; Irfan Awan; Hassan Ugail; Muhammad Younas 001 (Clust. Comput., 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. - Bashir Mohammed (2019)

Data-driven Learning to Predict WAN Network Traffic. - Nandini Krishnaswamy; Mariam Kiran; Kunal Singh; Bashir Mohammed (SNTA@HPDC, 2020)

Using Machine Learning for Intent-based provisioning in High-Speed Science Networks. - Hocine Mahtout; Mariam Kiran; Anu Mercian; Bashir Mohammed (SNTA@HPDC, 2020)

Dynamic Graph Neural Network for Traffic Forecasting in Wide Area Networks. - Tanwi Mallick; Mariam Kiran; Bashir Mohammed; Prasanna Balaprakash (CoRR, 2020)

NetGraf: An End-to-End Learning Network Monitoring Service. - Bashir Mohammed; Mariam Kiran; Bjoern Enders (INDIS@SC, 2021)

DynamicDeepFlow: An Approach for Identifying Changes in Network Traffic Flow Using Unsupervised Clustering. - Sheng Shen 006; Mariam Kiran; Bashir Mohammed (MLN, 2021)

NetGraf: A Collaborative Network Monitoring Stack for Network Experimental Testbeds. - Divneet Kaur; Bashir Mohammed; Mariam Kiran (CoRR, 2021)

Predicting WAN traffic volumes using Fourier and multivariate SARIMA approach. - Bashir Mohammed; Nandini Krishnaswamy; Mariam Kiran; Keshang Wu (Int. J. Big Data Intell., 2021)