Mariam Kiran

According to our database, Mariam Kiran authored at least 78 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Simulators for Quantum Network Modelling: A Comprehensive Review.

Oceane Bel, Mariam Kiran

CoRR, 2024

Advancing Anomaly Detection in Computational Workflows with Active Learning.

Krishnan Raghavan, George Papadimitriou, Hongwei Jin, Anirban Mandal, Mariam Kiran, Prasanna Balaprakash, Ewa Deelman

CoRR, 2024

5G Network Security Practices: An Overview and Survey.

Fatema Bannat Wala, Mariam Kiran

CoRR, 2024

2023

Engineering Autonomous Self-Driving Networks.

Mariam Kiran

SIGMETRICS Perform. Evaluation Rev., September, 2023

Graph neural networks for detecting anomalies in scientific workflows.

Hongwei Jin, Krishnan Raghavan, George Papadimitriou, Cong Wang, Anirban Mandal, Mariam Kiran, Ewa Deelman, Prasanna Balaprakash

Int. J. High Perform. Comput. Appl., July, 2023

Elephants Sharing the Highway: Studying TCP Fairness in Large Transfers over High Throughput Links.

Imtiaz Mahmud, George Papadimitriou, Cong Wang, Mariam Kiran, Anirban Mandal, Ewa Deelman

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Insights into DoH: Traffic Classification for DNS over HTTPS in an Encrypted Network.

Fatema Bannat Wala, Scott Campbell, Mariam Kiran

Proceedings of the 2023 on Systems and Network Telemetry and Analytics, 2023

2022

The LBNL Superfacility Project Report.

Deborah Bard, Cory Snavely, Lisa Gerhardt, Jason Lee, Becci Totzke, Katie Antypas, William Arndt, Johannes P. Blaschke, Suren Byna, Ravi Cheema, Shreyas Cholia, Mark R. Day, Bjoern Enders, Aditi Gaur, Annette Greiner, Taylor L. Groves, Mariam Kiran, Quincey Koziol, Tom Lehman, Kelly Rowland, Chris Samuel, Ashwin Selvarajan, Alex Sim, David Skinner, Laurie Stephey, Rollin C. Thomas, Gabor Torok

CoRR, 2022

Hyperparameter Tuning for Deep Reinforcement Learning Applications.

Mariam Kiran, Buse Melis Özyildirim

CoRR, 2022

Netostat: analyzing dynamic flow patterns in high-speed networks.

Sugeerth Murugesan, Mariam Kiran, Bernd Hamann, Gunther H. Weber

Clust. Comput., 2022

Workflow Anomaly Detection with Graph Neural Networks.

Hongwei Jin, Krishnan Raghavan, George Papadimitriou, Cong Wang, Anirban Mandal, Patrycja Krawczuk, Loïc Pottier, Mariam Kiran, Ewa Deelman, Prasanna Balaprakash

Proceedings of the IEEE/ACM Workshop on Workflows in Support of Large-Scale Science, 2022

Autonomous Pulse Control for Quantum Transducers with Deep Reinforcement Learning.

Mekena Metcalf, Huo Chen, Anastasiia Butko, Mariam Kiran

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022

Hecate: AI-driven WAN Traffic Engineering for Science.

Mariam Kiran, Scott Campbell, Nick Buraglio

Proceedings of the IEEE/ACM International Workshop on Innovating the Network for Data-Intensive Science, 2022

2021

Levenberg-Marquardt multi-classification using hinge loss function.

Buse Melis Özyildirim, Mariam Kiran

Neural Networks, 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

End-to-end online performance data capture and analysis for scientific workflows.

George Papadimitriou, Cong Wang, Karan Vahi, Rafael Ferreira da Silva, Anirban Mandal, Zhengchun Liu, Rajiv Mayani, Mats Rynge, Mariam Kiran, Vickie E. Lynch, Rajkumar Kettimuthu, Ewa Deelman, Jeffrey S. Vetter, Ian T. Foster

Future Gener. Comput. Syst., 2021

MAMRL: Exploiting Multi-agent Meta Reinforcement Learning in WAN Traffic Engineering.

Shan Sun, Mariam Kiran, Wei Ren

CoRR, 2021

NetGraf: A Collaborative Network Monitoring Stack for Network Experimental Testbeds.

Divneet Kaur, Bashir Mohammed, Mariam Kiran

CoRR, 2021

Mining Scientific Workflows for Anomalous Data Transfers.

Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies

CoRR, 2021

Machine learning-based analysis of COVID-19 pandemic impact on US research networks.

Mariam Kiran, Scott Campbell, Fatema Bannat Wala, Nick Buraglio, Inder Monga

Comput. Commun. Rev., 2021

Anomaly Detection in Scientific Workflows using End-to-End Execution Gantt Charts and Convolutional Neural Networks.

Patrycja Krawczuk, George Papadimitriou, Shubham Nagarkar, Mariam Kiran, Anirban Mandal, Ewa Deelman

Proceedings of the PEARC '21: Practice and Experience in Advanced Research Computing, 2021

Mining Workflows for Anomalous Data Transfers.

Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies

Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

DynamicDeepFlow: An Approach for Identifying Changes in Network Traffic Flow Using Unsupervised Clustering.

Sheng Shen, Mariam Kiran, Bashir Mohammed

Proceedings of the Machine Learning for Networking - 4th International Conference, 2021

HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization.

Vincent Dumont, Casey Garner, Anuradha Trivedi, Chelsea Jones, Vidya Ganapati, Juliane Mueller, Talita Perciano, Mariam Kiran, Marc Day

Proceedings of the IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2021

Towards Automated Superconducting Circuit Calibration using Deep Reinforcement Learning.

Meriam Gay Bautista, Zhi Jackie Yao, Anastasiia Butko, Mariam Kiran, Mekena Metcalf

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2021

NetGraf: An End-to-End Learning Network Monitoring Service.

Bashir Mohammed, Mariam Kiran, Bjoern Enders

Proceedings of the IEEE Workshop on Innovating the Network for Data-Intensive Science, 2021

2020

Detecting anomalous packets in network transfers: investigations using PCA, autoencoder and isolation forest in TCP.

Mariam Kiran, Cong Wang, George Papadimitriou, Anirban Mandal, Ewa Deelman

Mach. Learn., 2020

Editorial: Machine learning for safety-critical applications in engineering.

Mariam Kiran, Samir Khan

Mach. Learn., 2020

State-based network similarity visualization.

Sugeerth Murugesan, Kristofer E. Bouchard, Jesse A. Brown, Mariam Kiran, Dan Lurie, Bernd Hamann, Gunther H. Weber

Inf. Vis., 2020

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

Tanwi Mallick, Mariam Kiran, Bashir Mohammed, Prasanna Balaprakash

CoRR, 2020

Do optimization methods in deep learning applications matter?

Buse Melis Özyildirim, Mariam Kiran

CoRR, 2020

Unsupervised Anomaly Detection in Daily WAN Traffic Patterns.

Scott Campbell, Mariam Kiran, Fatema Bannat Wala

Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

Cross-facility science with the Superfacility Project at LBNL.

Bjoern Enders, Debbie Bard, Cory Snavely, Lisa Gerhardt, Jason Lee, Becci Totzke, Katie Antypas, Suren Byna, Ravi Cheema, Shreyas Cholia, Mark R. Day, Aditi Gaur, Annette Greiner, Taylor L. Groves, Mariam Kiran, Quincey Koziol, Kelly Rowland, Chris Samuel, Ashwin Selvarajan, Alex Sim, David Skinner, Rollin C. Thomas, Gabor Torok

Proceedings of the 2nd IEEE/ACM Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, 2020

Identifying Execution Anomalies for Data Intensive Workflows Using Lightweight ML Techniques.

Cong Wang, George Papadimitriou, Mariam Kiran, Anirban Mandal, Ewa Deelman

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

Using Machine Learning for Intent-based provisioning in High-Speed Science Networks.

Hocine Mahtout, Mariam Kiran, Anu Mercian, Bashir Mohammed

Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics, 2020

Data-driven Learning to Predict WAN Network Traffic.

Nandini Krishnaswamy, Mariam Kiran, Kunal Singh, Bashir Mohammed

Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics, 2020

2019

Understanding flows in high-speed scientific networks: A Netflow data study.

Mariam Kiran, Anshuman Chhabra

Future Gener. Comput. Syst., 2019

Training Classifiers to Identify TCP Signatures in Scientific Workflows.

George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman

Proceedings of the 2019 IEEE/ACM Innovating the Network for Data-Intensive Science, 2019

DeepRoute: Herding Elephant and Mice Flows with Reinforcement Learning.

Mariam Kiran, Bashir Mohammed, Nandini Krishnaswamy

Proceedings of the Machine Learning for Networking, 2019

DeepRoute on Chameleon: Experimenting with Large-scale Reinforcement Learning and SDN on Chameleon Testbed.

Bashir Mohammed, Mariam Kiran, Nandini Krishnaswamy

Proceedings of the 27th IEEE International Conference on Network Protocols, 2019

Multivariate Time-Series Prediction for Traffic in Large WAN Topology.

Bashir Mohammed, Nandini Krishnaswamy, Mariam Kiran

Proceedings of the 2019 ACM/IEEE Symposium on Architectures for Networking and Communications Systems, 2019

2018

Enabling intent to configure scientific networks for high performance demands.

Mariam Kiran, Eric Pouyoul, Anu Mercian, Brian Tierney, Chin Guok, Inder Monga

Future Gener. Comput. Syst., 2018

A performance modeling framework for lambda architecture based applications.

Marco Gribaudo, Mauro Iacono, Mariam Kiran

Future Gener. Comput. Syst., 2018

Calibers: A bandwidth calendaring paradigm for science workflows.

Fatma Alali, Nathan Hanford, Eric Pouyoul, Rajkumar Kettimuthu, Mariam Kiran, Ben Mack-Crane, Brian Tierney, Yatish Kumar, Dipak Ghosal

Future Gener. Comput. Syst., 2018

Issues in Gender Diversity and Equality in the UK.

Amel Bennaceur, Ampaeli Cano, Lilia Georgieva, Mariam Kiran, Maria Salama, Poonam Yadav

Proceedings of the 2018 IEEE/ACM 1st International Workshop on Gender Equality in Software Engineering, 2018

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

Long-term Macroeconomic Dynamics of Competition in the Russian Economy using Agent- based Modelling.

Tatyana Eftonova, Mariam Kiran, Mike Stannett

Int. J. Syst. Dyn. Appl., 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

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.

Bashir Mohammed, Sibusiso Moyo, Kabiru M. Maiyama, Sulayman Kinteh, Al Noaman M. K. Al-Shaidy, Mumtaz Ahmed Kamala, Mariam Kiran

CoRR, 2017

INDIRA: 'Application Intent' network assistant to configure SDN-based high performance scientific networks.

Anu Mercian, Mariam Kiran, Eric Pouyoul, Brian Tierney, Inder Monga

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2017

A bandwidth friendly architecture for Cloud Gaming.

Muhammad Usman, Adnan Iqbal, Mariam Kiran

Proceedings of the 2017 International Conference on Information Networking, 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

Proceedings of the 5th IEEE International Conference on Future Internet of Things and Cloud, 2017

2016

Testing Software Services in Cloud Ecosystems.

Mariam Kiran, Anthony J. H. Simons

Int. J. Cloud Appl. Comput., 2016

An Integrated Virtualized Strategy for Fault Tolerance in Cloud Computing Environment.

Bashir Mohammed, Mariam Kiran, Irfan-Ullah Awan, Kabiru M. Maiyama

Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 2016

Optimising Fault Tolerance in Real-Time Cloud Computing IaaS Environment.

Bashir Mohammed, Mariam Kiran, Irfan-Ullah Awan, Kabiru M. Maiyama

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.

Mariam Kiran, Kabiru Maiyama, Haroon Mir, Bashir Mohammed, Ashraf Al-Ou'n

Proceedings of the 8th IEEE/ACM International Conference on Utility and Cloud Computing, 2015

Agent-Based High-Performance Simulation of Biological Systems on the GPU.

Savas Konur, Mariam Kiran, Marian Gheorghe, Mark Burkitt, Florentin Ipate

Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015

Analysis of Cloud Test Beds Using OpenSource Solutions.

Bashir Mohammed, Mariam Kiran

Proceedings of the 3rd International Conference on Future Internet of Things and Cloud, 2015

Using Agent-Based VM Placement Policy.

Ashraf Al-Ou'n, Mariam Kiran, Demetres D. Kouvatsos

Proceedings of the 3rd International Conference on Future Internet of Things and Cloud, 2015

Lambda architecture for cost-effective batch and speed big data processing.

Mariam Kiran, Peter Murphy, Inder Monga, Jon Dugan, Sartaj Singh Baveja

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Modelling Cities as a Collection of TeraSystems - Computational Challenges in Multi-Agent Approach.

Mariam Kiran

Proceedings of the 6th International Conference on Ambient Systems, 2015

2014

Methodology for Information Management and Data Assessment in Cloud Environments.

Mariam Kiran, Gregory Katsaros, Jordi Guitart, Juan Luis Prieto

Int. J. Grid High Perform. Comput., 2014

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

Bashir Mohammed, Mariam Kiran

CoRR, 2014

Converting a Systems Dynamic Model to an Agent-based model for studying the Bicoid morphogen gradient in Drosophila embryo.

Mariam Kiran, Wei Liu

CoRR, 2014

Using FLAME Toolkit for Agent-Based Simulation: Case Study Sugarscape Model.

Mariam Kiran

CoRR, 2014

Model-Based Testing for Composite Web Services in Cloud Brokerage Scenarios.

Mariam Kiran, Anthony J. H. Simons

Proceedings of the Advances in Service-Oriented and Cloud Computing, 2014

2013

Large-Scale Modeling of Economic Systems.

Mike Holcombe, Simon Coakley, Mariam Kiran, Lee Shawn Chin, Chris Greenough, David Worth, Silvano Cincotti, Marco Raberto, Andrea Teglio, Christophe Deissenberg, Sander van der Hoog, Herbert Dawid, Simon Gemkow, Philipp Harting, Michael Neugart

Complex Syst., 2013

Model-Based Testing in Cloud Brokerage Scenarios.

Mariam Kiran, Andreas Friesen, Anthony J. H. Simons, Wolfgang K. R. Schwach

Proceedings of the Service-Oriented Computing - ICSOC 2013 Workshops, 2013

Threat methodology for securing scalable video in the Cloud.

Afnan Ullah Khan, Manuel Oriol, Mariam Kiran

Proceedings of the 8th International Conference for Internet Technology and Secured Transactions, 2013

2012

Assuring Data Privacy in Cloud Transformations.

Tom Kirkham, Django Armstrong, Karim Djemame, Marcelo Corrales, Mariam Kiran, Iheanyi Nwankwo, Ming Jiang, Nikolaus Forgó

Proceedings of the 11th IEEE International Conference on Trust, 2012

Risk based SLA management in clouds: A legal perspective.

Tom Kirkham, Karim Djemame, Mariam Kiran, Ming Jiang, Django Armstrong, George Kousiouris, George Vafiadis, Athanasia Evangelinou

Proceedings of the 7th International Conference for Internet Technology and Secured Transactions, 2012

Security risks and their management in cloud computing.

Afnan Ullah Khan, Manuel Oriol, Mariam Kiran, Ming Jiang, Karim Djemame

Proceedings of the 4th IEEE International Conference on Cloud Computing Technology and Science Proceedings, 2012

2011

Towards a Service Lifecycle Based Methodology for Risk Assessment in Cloud Computing.

Mariam Kiran, Ming Jiang, Django Armstrong, Karim Djemame

Proceedings of the IEEE Ninth International Conference on Dependable, 2011

A multiobjective optimisation approach for the dynamic inference and refinement of agent-based model specifications.

Salem Fawaz Adra, Mariam Kiran, Phil McMinn, Neil Walkinshaw

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010

Investigating coevolutionary algorithms in agent-based economic systems.

Mariam Kiran

PhD thesis, 2010

An Approach to the Parallelisation of Agent-Based Applications.

Chris Greenough, Lee Shawn Chin, David Worth, Simon Coakley, Mike Holcombe, Mariam Kiran

ERCIM News, 2010

FLAME: simulating large populations of agents on parallel hardware architectures.

Mariam Kiran, Paul Richmond, Mike Holcombe, Lee Shawn Chin, David Worth, Chris Greenough

Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

2008

Validation and discovery from computational biology models.

Mariam Kiran, Simon Coakley, Neil Walkinshaw, Phil McMinn, Mike Holcombe

Biosyst., 2008