AI driven workflow scheduling in dynamic edge environments using Jacobi identity based deep neural network and multi criteria optimization
Simulation result findings proves the proposed system’s effectiveness, highlighting the crucial improvements in reducing makespan, enhancing energy efficiency, and optimizing resource utilization as compared to the traditional static and single-criteria scheduling strategies.
Neetu Bansla, Oshin Sharma, P. Sharma
· Discover Computing · 0 citations