Mariam Kiran
Cited by
Cited by
Lambda architecture for cost-effective batch and speed big data processing
M Kiran, P Murphy, I Monga, J Dugan, SS Baveja
2015 IEEE international conference on big data (big data), 2785-2792, 2015
FLAME: simulating large populations of agents on parallel hardware architectures
M Kiran, P Richmond, M Holcombe, LS Chin, D Worth, C Greenough
Proceedings of the 9th International Conference on Autonomous Agents and …, 2010
Modelling complex biological systems using an agent-based approach
M Holcombe, S Adra, M Bicak, S Chin, S Coakley, AI Graham, J Green, ...
Integrative Biology 4 (1), 53-64, 2012
Security risks and their management in cloud computing
AU Khan, M Oriol, M Kiran, M Jiang, K Djemame
4th IEEE International Conference on Cloud Computing Technology and Science …, 2012
A risk assessment framework and software toolkit for cloud service ecosystems
K Djemame, D Armstrong, M Kiran, M Jiang
Cloud computing 5, 119-126, 2011
Enabling intent to configure scientific networks for high performance demands
M Kiran, E Pouyoul, A Mercian, B Tierney, C Guok, I Monga
Future Generation Computer Systems 79, 205-214, 2018
Controlling distributed energy resources via deep reinforcement learning for load flexibility and energy efficiency
S Touzani, AK Prakash, Z Wang, S Agarwal, M Pritoni, M Kiran, R Brown, ...
Applied Energy 304, 117733, 2021
Failover strategy for fault tolerance in cloud computing environment
B Mohammed, M Kiran, KM Maiyama, MM Kamala, IU Awan
Software: Practice and Experience 47 (9), 1243-1274, 2017
Large-scale modeling of economic systems
M Holcombe, S Coakley, M Kiran, S Chin, C Greenough, D Worth, ...
Complex Systems Publications, 2013
Towards a service lifecycle based methodology for risk assessment in cloud computing
M Kiran, M Jiang, DJ Armstrong, K Djemame
2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure …, 2011
A performance modeling framework for lambda architecture based applications
M Gribaudo, M Iacono, M Kiran
Future Generation Computer Systems 86, 1032-1041, 2018
Cross-facility science with the Superfacility Project at LBNL
B Enders, D Bard, C Snavely, L Gerhardt, J Lee, B Totzke, K Antypas, ...
2020 IEEE/ACM 2nd Annual Workshop on Extreme-scale Experiment-in-the-Loop …, 2020
Levenberg–Marquardt multi-classification using hinge loss function
BM Ozyildirim, M Kiran
Neural Networks 143, 564-571, 2021
Biological synthesis of silver nanoparticles from marine alga Colpomenia sinuosa and its in vitro anti-diabetic activity
DVK Manam, S Murugesan
American Journal of Bio-pharmacology Biochemistry and Life Sciences (AJBBL …, 2014
Classifying elephant and mice flows in high-speed scientific networks
A Chhabra, M Kiran
Proc. INDIS, 1-8, 2017
Analysis of cloud test beds using opensource solutions
B Mohammed, M Kiran
2015 3rd International Conference on Future Internet of Things and Cloud …, 2015
Hyperparameter tuning for deep reinforcement learning applications
M Kiran, M Ozyildirim
arXiv preprint arXiv:2201.11182, 2022
Optimising fault tolerance in real-time cloud computing IaaS environment
B Mohammed, M Kiran, IU Awan, KM Maiyama
2016 IEEE 4th international conference on future internet of things and …, 2016
Validation and discovery from computational biology models
M Kiran, S Coakley, N Walkinshaw, P McMinn, M Holcombe
Biosystems 93 (1-2), 141-150, 2008
Data-driven learning to predict wan network traffic
N Krishnaswamy, M Kiran, K Singh, B Mohammed
Proceedings of the 3rd International Workshop on Systems and Network …, 2020
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