Fog computing: Survey of trends, architectures, requirements, and research directions RK Naha, S Garg, D Georgakopoulos, PP Jayaraman, L Gao, Y Xiang, ... IEEE access 6, 47980-48009, 2018 | 619 | 2018 |
Deadline-based dynamic resource allocation and provisioning algorithms in fog-cloud environment RK Naha, S Garg, A Chan, SK Battula Future Generation Computer Systems 104, 131-141, 2020 | 172 | 2020 |
IoTSim‐Edge: a simulation framework for modeling the behavior of Internet of Things and edge computing environments DN Jha, K Alwasel, A Alshoshan, X Huang, RK Naha, SK Battula, S Garg, ... Software: Practice and Experience 50 (6), 844-867, 2020 | 135 | 2020 |
Process automation in an IoT–fog–cloud ecosystem: A survey and taxonomy H Chegini, RK Naha, A Mahanti, P Thulasiraman IoT 2 (1), 92-118, 2021 | 104 | 2021 |
Cost-aware service brokering and performance sentient load balancing algorithms in the cloud RK Naha, M Othman Journal of Network and Computer Applications 75, 47-57, 2016 | 84 | 2016 |
Blockchain for cybersecurity and privacy: architectures, challenges, and applications Y Maleh, M Shojafar, M Alazab, I Romdhani CRC press, 2020 | 73 | 2020 |
FogAuthChain: A secure location-based authentication scheme in fog computing environments using Blockchain AAN Patwary, A Fu, SK Battula, RK Naha, S Garg, A Mahanti Computer Communications 162, 212-224, 2020 | 67 | 2020 |
Towards secure fog computing: A survey on trust management, privacy, authentication, threats and access control AAN Patwary, RK Naha, S Garg, SK Battula, MAK Patwary, E Aghasian, ... Electronics 10 (10), 1171, 2021 | 47 | 2021 |
Fog Computing Architecture: Survey and Challenges RK Naha, S Garg, A Chan arXiv preprint arXiv:1811.09047, 2018 | 46 | 2018 |
E-learning as a mean of forming students’ mathematical competence in a research-oriented educational process ММ Астаф'єва, ОБ Жильцов, ВВ Прошкін, ОС Литвин Cloud Technologies in Education. Proceedings of the 7 th Workshop CTE 2019 …, 2020 | 44 | 2020 |
A micro-level compensation-based cost model for resource allocation in a fog environment SK Battula, S Garg, RK Naha, P Thulasiraman, R Thulasiram Sensors 19 (13), 2954, 2019 | 38 | 2019 |
Authentication, access control, privacy, threats and trust management towards securing fog computing environments: A review AAN Patwary, A Fu, RK Naha, SK Battula, S Garg, MAK Patwary, ... arXiv preprint arXiv:2003.00395, 2020 | 33 | 2020 |
Multiple linear regression-based energy-aware resource allocation in the Fog computing environment R Naha, S Garg, SK Battula, MB Amin, D Georgakopoulos Computer Networks 216, 109240, 2022 | 22 | 2022 |
Multi-criteria--based Dynamic User Behaviour--aware Resource Allocation in Fog Computing RK Naha, S Garg ACM Transactions on Internet of Things 2 (1), 1-31, 2021 | 21 | 2021 |
Brokering and Load-Balancing Mechanism in the Cloud–Revisited RK Naha, M Othman IETE Technical Review, 271-276, 2014 | 21 | 2014 |
A-CAFDSP: An adaptive-congestion aware Fibonacci sequence based data scheduling policy VK Sharma, LP Verma, M Kumar, RK Naha, A Mahanti Computer Communications 158, 141-165, 2020 | 17 | 2020 |
IoT-based emergency vehicle services in intelligent transportation system A Chowdhury, S Kaisar, ME Khoda, R Naha, MA Khoshkholghi, M Aiash Sensors 23 (11), 5324, 2023 | 15 | 2023 |
A blockchain-based framework for automatic SLA management in fog computing environments SK Battula, S Garg, R Naha, MB Amin, B Kang, E Aghasian The Journal of Supercomputing 78 (15), 16647-16677, 2022 | 15 | 2022 |
Machine learning-based modelling for museum visitations prediction N Yap, M Gong, RK Naha, A Mahanti 2020 International Symposium on Networks, Computers and Communications …, 2020 | 13 | 2020 |
Energy-aware virtual machine selection method for cloud data center resource allocation N Akhter, M Othman, RK Naha arXiv preprint arXiv:1812.08375, 2018 | 11 | 2018 |