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Gobalakrishnan Natesan
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Journal Articles
- 2024
- [j14]Manikandan Nanjappan, Pradeep Krishnadoss, Gobalakrishnan Natesan, A. Samydurai, G. Premalatha:
DeepLG SecNet: utilizing deep LSTM and GRU with secure network for enhanced intrusion detection in IoT environments. Clust. Comput. 27(4): 5459-5471 (2024) - [j13]Javid Ali Liakath, Gobalakrishnan Natesan, Pradeep Krishnadoss, Manikandan Nanjappan:
Efficient resource allocation in heterogeneous clouds: genetic water evaporation optimization for task scheduling. Signal Image Video Process. 18(5): 3993-4002 (2024) - 2023
- [j12]Javid Ali Liakath, Pradeep Krishnadoss, Gobalakrishnan Natesan:
DCCWOA: A multi-heuristic fault tolerant scheduling technique for cloud computing environment. Peer Peer Netw. Appl. 16(2): 785-802 (2023) - [j11]Gobalakrishnan Natesan, Manikandan Nanjappan, Pradeep Krishnadoss, L. Sherly Puspha Annabel:
Task scheduling based on minimization of makespan and energy consumption using binary GWO algorithm in cloud environment. Peer Peer Netw. Appl. 16(5): 2560-2573 (2023) - [j10]Manikandan Nanjappan, Gobalakrishnan Natesan, Pradeep Krishnadoss:
HFTO: Hybrid Firebug Tunicate Optimizer for Fault Tolerance and Dynamic Task Scheduling in Cloud Computing. Wirel. Pers. Commun. 129(1): 323-344 (2023) - 2022
- [j9]Pradeep Krishnadoss, L. Javid Ali, Gobalakrishnan Natesan, C. J. Raman, Manikandan Nanjappan:
CWOA: Hybrid Approach for Task Scheduling in Cloud Environment. Comput. J. 65(7): 1860-1873 (2022) - [j8]Manikandan Nanjappan, Gobalakrishnan Natesan, Pradeep Krishnadoss:
Bee optimization based random double adaptive whale optimization model for task scheduling in cloud computing environment. Comput. Commun. 187: 35-44 (2022) - [j7]Manikandan Gunasekar, Gobalakrishnan Natesan, Duraimurugan Samiayya:
Multi-objective moth swarm based sailfish model for optimal routing in wireless sensor network. Concurr. Comput. Pract. Exp. 34(21) (2022) - [j6]Gobalakrishnan Natesan, L. Javid Ali, Pradeep Krishnadoss, Raman Chidambaram, Manikandan Nanjappan:
Optimization techniques for task scheduling criteria in IaaS cloud computing atmosphere using nature inspired hybrid spotted hyena optimization algorithm. Concurr. Comput. Pract. Exp. 34(24) (2022) - 2021
- [j5]Manikandan Nanjappan, Gobalakrishnan Natesan, Pradeep Krishnadoss:
An Adaptive Neuro-Fuzzy Inference System and Black Widow Optimization Approach for Optimal Resource Utilization and Task Scheduling in a Cloud Environment. Wirel. Pers. Commun. 121(3): 1891-1916 (2021) - 2020
- [j4]Gobalakrishnan Natesan, Arun Chokkalingam:
An improved grey wolf optimization algorithm based task scheduling in cloud computing environment. Int. Arab J. Inf. Technol. 17(1): 73-81 (2020) - [j3]Gobalakrishnan Natesan, Arun Chokkalingam:
Multi-Objective Task Scheduling Using Hybrid Whale Genetic Optimization Algorithm in Heterogeneous Computing Environment. Wirel. Pers. Commun. 110(4): 1887-1913 (2020) - 2019
- [j2]Gobalakrishnan Natesan, Arun Chokkalingam:
Task scheduling in heterogeneous cloud environment using mean grey wolf optimization algorithm. ICT Express 5(2): 110-114 (2019) - 2018
- [j1]Gobalakrishnan Natesan, C. Arun:
A New Multi-Objective Optimal Programming Model for Task Scheduling using Genetic Gray Wolf Optimization in Cloud Computing. Comput. J. 61(10): 1523-1536 (2018)
Coauthor Index
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