Ganesan Nagabushnam

According to our database, Ganesan Nagabushnam authored at least 3 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Faddeer: a deep multi-agent reinforcement learning-based scheduling algorithm for aperiodic tasks in heterogeneous fog computing networks.

Ganesan Nagabushnam, Kyong Hoon Kim

Clust. Comput., October, 2025

Energizing the fog: a systematic survey on task scheduling strategies for energy optimization.

Ganesan Nagabushnam, Yundo Choi, Kyong Hoon Kim

Clust. Comput., October, 2025

2024

FODAS: A Novel Reinforcement Learning Approach for Efficient Task Scheduling in Fog Computing Network.

Ganesan Nagabushnam, Yundo Choi, Kyong Hoon Kim

Proceedings of the 2024 9th International Conference on Fog and Mobile Edge Computing (FMEC), 2024