Optimal fog services placement in SDN IoT network using Random Neural Networks and Cognitive Network Map
| Author | Fröhlich P.; Gelenbe E. |
|---|---|
| Title | Optimal fog services placement in SDN IoT network using Random Neural Networks and Cognitive Network Map |
| Journal | The 19th International Conference on Artificial Intelligence and Soft Computing |
| Year | 2020 |
| Status | Published |
| Abstract | <p>Due to massive increase in number of <em>IoT</em> devices and number of cloud based services a crucial task arises of optimally placing (both topologically and resource-wise ) services in the network so that non of the clients will be victimized and receive best possible time of response. Also - there must be a balance not to instantiate a service on every possible machine - which would take too much resources. Task which must be solved is an optimization of parameters such as <em>QoS</em> between service and client, equality of clients and usage of resources. Using <em>SDN</em> - which is designed to answer some of the problems posed in this section such as <em>QoS</em> and knowledge about topology of the whole network and newly connected clients - is a gateway to better fit service management. Machine learning provides less stiff rules to follow and more intelligent behaviour of the manager.</p> |
| Publisher | Springer |
| Optimal_fog_services_placement_in_SDN_IoT_network_using_Random_Neural_Networks_and_Cognitive_Network_Map.pdf |