Table 2.

Categorizing the state-of-the-art in urban computing applications.

Study	Attributes
Guevara et al. [17]	Main concept: Providing a scheduling algorithm to minimize the length of cloud computing applications.
	Case study: Cloud–fog system.
	App domain: Cellular network/5G fog network.
	Advantage: Quick execution of tasks taking into account QoS.
	Disadvantage: Lack of attention to the cost of resources.
	Simulation/Implementation: Implemented in Java.
	Dataset: -
	Future work: Use CASSIA-RR for cloud-cloud systems where quick decisions need to be made.
Kaur et al. [28]	Main concept: Providing an algorithm in a multi-layer fog network with different job profiles that schedule real-time tasks.
	Case study: Fog nodes.
	App domain: Fog networks.
	Advantage: Avoiding delay and completion of tasks before the deadline.
	Disadvantage: -
	Simulation/Implementation: Used the iFogSim simulator.
	Dataset: -
	Future work: extending performance in real-time scheduling in multilayer architectures.