| Towards scaling blockchain systems via sharding H Dang, TTA Dinh, D Loghin, EC Chang, Q Lin, BC Ooi Proceedings of the 2019 international conference on management of data, 123-140, 2019 | 75 | 2019 |
| A performance study of big data on small nodes D Loghin, BM Tudor, H Zhang, BC Ooi, YM Teo Proceedings of the VLDB Endowment 8 (7), 762-773, 2015 | 63 | 2015 |
| Home automation design using 6LoWPAN wireless sensor networks DŞ Tudose, A Voinescu, MT Petrăreanu, A Bucur, D Loghin, A Bostan, ... 2011 International Conference on Distributed Computing in Sensor Systems and …, 2011 | 40 | 2011 |
| Modeling the energy efficiency of heterogeneous clusters L Ramapantulu, BM Tudor, D Loghin, T Vu, YM Teo 2014 43rd International Conference on Parallel Processing, 321-330, 2014 | 20 | 2014 |
| An approach for energy efficient execution of hybrid parallel programs L Ramapantulu, D Loghin, YM Teo 2015 IEEE International Parallel and Distributed Processing Symposium, 1000-1009, 2015 | 12 | 2015 |
| Celia: cost-time performance of elastic applications on cloud S Rathnayake, D Loghin, YM Teo 2017 46th International Conference on Parallel Processing (ICPP), 342-351, 2017 | 9 | 2017 |
| On understanding time, energy and cost performance of wimpy heterogeneous systems for edge computing D Loghin, L Ramapantulu, YM Teo 2017 IEEE International Conference on Edge Computing (EDGE), 1-8, 2017 | 7 | 2017 |
| The disruptions of 5G on data-driven technologies and applications D Loghin, S Cai, G Chen, TTA Dinh, F Fan, Q Lin, J Ng, BC Ooi, X Sun, ... IEEE transactions on knowledge and data engineering 32 (6), 1179-1198, 2020 | 6 | 2020 |
| Blockchains and distributed databases: a twin study P Ruan, G Chen, TTA Dinh, Q Lin, D Loghin, BC Ooi, M Zhang arXiv preprint arXiv:1910.01310, 2019 | 6 | 2019 |
| The time and energy efficiency of modern multicore systems D Loghin, YM Teo Parallel Computing 86, 1-13, 2019 | 6 | 2019 |
| A time–energy performance analysis of MapReduce on heterogeneous systems with GPUs D Loghin, L Ramapantulu, O Barbu, YM Teo Performance Evaluation 91, 255-269, 2015 | 6 | 2015 |
| Blockchain goes green? An analysis of blockchain on low-power nodes D Loghin, G Chen, TTA Dinh, BC Ooi, YM Teo arXiv preprint arXiv:1905.06520, 2019 | 4 | 2019 |
| On energy proportionality and time-energy performance of heterogeneous clusters L Ramapantulu, D Loghin, YM Teo 2016 IEEE International Conference on Cluster Computing (CLUSTER), 221-230, 2016 | 4 | 2016 |
| Understanding the scalability of Hyperledger Fabric MQ Nguyen, D Loghin, TTA Dinh BCDL VLDB, 2019 | 3 | 2019 |
| Efficient time-energy execution of data-parallel applications on heterogeneous systems with GPU D Loghin PQDT-Global, 2017 | 3 | 2017 |
| A transactional perspective on execute-order-validate blockchains P Ruan, D Loghin, QT Ta, M Zhang, G Chen, BC Ooi Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 2 | 2020 |
| Towards analyzing the performance of hybrid edge-cloud processing D Loghin, L Ramapantulu, YM Teo 2019 IEEE International Conference on Edge Computing (EDGE), 87-94, 2019 | 2 | 2019 |
| Modeling the Energy-Time Performance of MIC Architecture System L Ramapantulu, T Dao, D Loghin, N Thoai, YM Teo 2016 IEEE 24th International Symposium on Modeling, Analysis and Simulation …, 2016 | 1 | 2016 |
| An Approach for Direct Dataflow Execution on Contemporary Multicore Systems D Loghin, BM Tudor, YM Teo 2013 Data-Flow Execution Models for Extreme Scale Computing, 1-8, 2013 | 1 | 2013 |
| Communication-efficient Decentralized Machine Learning over Heterogeneous Networks P Zhou, Q Lin, D Loghin, BC Ooi, Y Wu, H Yu arXiv preprint arXiv:2009.05766, 2020 | | 2020 |
