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,
Cloud computing has attracted significant attention from research community because of rapid migration rate of Information Technology services to its domain. Advances in virtualization technology has
