| Fogbus: A blockchain-based lightweight framework for edge and fog computing S Tuli, R Mahmud, S Tuli, R Buyya Journal of Systems and Software 154, 22-36, 2019 | 82 | 2019 |
| HealthFog: An Ensemble Deep Learning based Smart Healthcare System for Automatic Diagnosis of Heart Diseases in Integrated IoT and Fog Computing Environments S Tuli, N Basumatary, SS Gill, M Kahani, RC Arya, GS Wander, R Buyya Future Generation Computer Systems 104, 187-200, 2020 | 80 | 2020 |
| Predicting the Growth and Trend of COVID-19 Pandemic using Machine Learning and Cloud Computing S Tuli, S Tuli, R Tuli, SS Gill Internet of Things, 100-222, 2020 | 70 | 2020 |
| Transformative Effects of IoT, Blockchain and Artificial Intelligence on Cloud Computing: Evolution, Vision, Trends and Open Challenges SS Gill, S Tuli, M Xu, I Singh, KV Singh, D Lindsay, S Tuli, D Smirnova, ... Internet of Things 8, 100-118, 2019 | 63 | 2019 |
| EdgeLens: Deep Learning based Object Detection in Integrated IoT, Fog and Cloud Computing Environments S Tuli, N Basumatary, R Buyya Proceedings of the 4th IEEE International Conference on Information Systems …, 2019 | 18 | 2019 |
| Next generation technologies for smart healthcare: Challenges, vision, model, trends and future directions S Tuli, S Tuli, G Wander, P Wander, SS Gill, S Dustdar, R Sakellariou, ... Internet Technology Letters 3 (2), e145, 2020 | 12 | 2020 |
| iGateLink: A Gateway Library for Linking IoT, Edge, Fog and Cloud Computing Environments R Mancini, S Tuli, T Cucinotta, R Buyya Proceedings of the International Conference on Intelligent and Cloud Computing, 2019 | 6 | 2019 |
| ThermoSim: Deep learning based framework for modeling and simulation of thermal-aware resource management for cloud computing environments SS Gill, S Tuli, AN Toosi, F Cuadrado, P Garraghan, R Bahsoon, ... Journal of Systems and Software, 110596, 2020 | 5 | 2020 |
| Shared Data-Aware Dynamic Resource Provisioning and Task Scheduling for Data Intensive Applications on Hybrid Clouds using Aneka S Tuli, R Sandhu, R Buyya Future Generation Computer Systems 106, 595-606, 2020 | 3 | 2020 |
| Modelling for prediction of the spread and severity of COVID-19 and its association with socioeconomic factors and virus types S Tuli, S Tuli, R Verma, R Tuli Biomedical Research and Clinical Reviews, 2020 | 2 | 2020 |
| Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments using A3C learning and Residual Recurrent Neural Networks S Tuli, S Ilager, K Ramamohanarao, R Buyya IEEE Transactions on Mobile Computing, 2020 | 2 | 2020 |
| ToolNet: Using Commonsense Generalization for Predicting Tool Use for Robot Plan Synthesis R Bansal, S Tuli, R Paul, Mausam Workshop on Advances & Challenges in Imitation Learning in Robotics Workshop …, 2020 | 1 | 2020 |
| AVAC: A Machine Learning based Adaptive RRAM Variability-Aware Controller for Edge Devices S Tuli, S Tuli IEEE International Symposium on Circuits and Systems (ISCAS) 2020, 2020 | 1 | 2020 |
| iThermoFog: IoT‐Fog based Automatic Thermal Profile Creation for Cloud Data Centers using Artificial Intelligence Techniques S Tuli, SS Gill, G Casale, NR Jennings Internet Technology Letters, e198, 2020 | 1 | 2020 |
| APEX: Adaptive Ext4 File System for Enhanced Data Recoverability in Edge Devices S Tuli, S Tuli, U Jain, R Buyya Proceedings of the 11th IEEE International Conference on Cloud Computing, 2019 | 1 | 2019 |
| REAL: REquest Arbitration in Last Level Caches S Tiwari, S Tuli, I Ahmad, A Agarwal, PR Panda, S Subramoney ACM Transactions on Embedded Computing Systems (TECS) 18 (6), 1-24, 2019 | | 2019 |
Rajkumar BuyyaCLOUDS Lab, School of Computing and Information Systems, The University of Melbourne, AustraliaVerified email at unimelb.edu.au
