Article abstractWe study the problem of distributed computing in the multi-operator multi-access edge computing (MEC) network for dependent tasks. Every task comprises several sub-tasks which are exec
The exponential growth of the Internet of Things and mobile edge computing has intensified the need for substantial data processing and instantaneous response. Consequently, collaboration between the
In the edge computing environment, when existing task scheduling algorithms allocate resources for tasks, the central host of edge computing consumes more energy and processes fewer tasks successfully
This work evaluates the performance of a Q-learning-based task scheduling algorithm within an edge computing environment, using the Montage workflow as a case study. Through comprehensive simulations,
