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Sara Kardani Moghaddam
Sara Kardani Moghaddam
CLOUDS Lab, Computing and Information Systems, University of Melbourne, Australia
E-mail confirmado em student.unimelb.edu.au
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ADRL: A hybrid anomaly-aware deep reinforcement learning-based resource scaling in clouds
S Kardani-Moghaddam, R Buyya, K Ramamohanarao
IEEE Transactions on Parallel and Distributed Systems 32 (3), 514-526, 2020
532020
A hybrid genetic algorithm and variable neighborhood search for task scheduling problem in grid environment
S Kardani-Moghaddam, F Khodadadi, R Entezari-Maleki, A Movaghar
Procedia Engineering 29, 3808-3814, 2012
522012
Performance-aware management of cloud resources: a taxonomy and future directions
SK Moghaddam, R Buyya, K Ramamohanarao
ACM Computing Surveys (CSUR) 52 (4), 1-37, 2019
252019
ACAS: An anomaly-based cause aware auto-scaling framework for clouds
SK Moghaddam, R Buyya, K Ramamohanarao
Journal of Parallel and Distributed Computing 126, 107-120, 2019
222019
Performance anomaly detection using isolation‐trees in heterogeneous workloads of web applications in computing clouds
S Kardani‐Moghaddam, R Buyya, K Ramamohanarao
Concurrency and Computation: Practice and Experience 31 (20), e5306, 2019
92019
A cost efficient two-level market model for task scheduling problem in grid environment
S Kardani-Moghaddam, R Entezari-Maleki, A Movaghar
Iranian Journal of Science & Technology 38 (E1), 73-90, 2014
32014
ITL: An Isolation-Tree-Based Learning of Features for Anomaly Detection in Networked Systems
SK Moghaddam, R Buyya, K Ramamohanarao
New Frontiers in Cloud Computing and Internet of Things, 185-207, 2022
2022
Anomaly-aware Management of Cloud Computing Resources
SK Moghaddam
2019
ITL: An Isolation-Tree based Learning of Features for Anomaly Detection in Networked Systems
S Kardani-Moghaddam, R Buyya, K Ramamohanarao
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