Optimal fog services placement in SDN IoT network using Random Neural Networks and Cognitive Network Map

Due to a massive increase in the number of IoT devices and the number of cloud-based services a crucial task arises of optimally placing (both topologically and resource-wise) services in the network so that no of the clients will be victimized and all of them will receive the best possible time of response. Also - there must be a balance not to instantiate a service on every possible machine - which would take too many resources. The task which must be solved is an optimization of parameters such as QoS between service and client, equality of clients and usage of resources. Using the SDN - which is designed to answer some of the problems posed in this section such as QoS and knowledge about the topology of the whole network and newly connected clients - is a gateway to better-adapted service management. Machine learning provides less stiff rules to follow and more intelligent behavior of the manager.