| 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 | 54 | 2020 |
| 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 | 52 | 2012 |
| 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 | 27 | 2019 |
| 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 | 23 | 2019 |
| 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 | 9 | 2019 |
| 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 | 3 | 2014 |
| 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 |
