The network management automation problem in 5G systems has been gaining attention from standardization organizations and researchers. The current age of agile and dynamic cloud-based environments demands autonomous systems for managing network resources. Operators aim to optimize the network resources to achieve minimalism with efficiency. Autonomousity in networks is the next leap of evolution that is capable of going beyond automation capabilities. With autonomousity, it is not just making the network capable of managing resources but rather making the network learn and adapt itself with respect to the dynamic environment. Autonomous tasks in networks refer to self-healing, self-diagnosing, and self-provisioning. With the help of emerging technologies such as artificial intelligence (AI), Internet of Things (IoT), and Blockchain, autonomous tasks can be realized in current network systems.
Guest Editorial: Autonomous Networks: Opportunities, Challenges, and Applications
Magarini M.
2022-01-01
Abstract
The network management automation problem in 5G systems has been gaining attention from standardization organizations and researchers. The current age of agile and dynamic cloud-based environments demands autonomous systems for managing network resources. Operators aim to optimize the network resources to achieve minimalism with efficiency. Autonomousity in networks is the next leap of evolution that is capable of going beyond automation capabilities. With autonomousity, it is not just making the network capable of managing resources but rather making the network learn and adapt itself with respect to the dynamic environment. Autonomous tasks in networks refer to self-healing, self-diagnosing, and self-provisioning. With the help of emerging technologies such as artificial intelligence (AI), Internet of Things (IoT), and Blockchain, autonomous tasks can be realized in current network systems.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
