IoT cloud-based services in network management solutions

Main goal of research in this paper is to improve resilience of network management in networks with IoT (Internet of Things) devices. To set up a network with many IoT devices in the constrained environment can be a challenge. IoT objects refer to a wide variety of devices which are most often equipped with sensors. They can generate a large amount of real time data which can serve as an input to network management systems. If we consider the functional architecture of the TMN (Telecommunications Management Network), it is obvious that the QAF (Q Adapter Function) and MF (Mediation Function) will serve a great purpose in monitoring the above-mentioned network architectures. These two functions enable the integration of data from multiple sources, in which we include the data from the other control systems. Collecting data from devices most often requires developing custom-made applications which imply time and cost consumption. If devices are connected to Internet there are many cloud providers offering connectivity between devices and the cloud. One of them is AWS IoT (Amazon Web Services for Internet of Things). AWS IoT services can collect data from many different devices and connect them to endpoints for other tools, like network management solutions. Authentication and authorization are covered. Also, rules engine can filter and uniform data. The rule is triggered when a message that matches some filter is received. This paper describes some aspects of implementation of such system. Performance is evaluated by connecting small, single-board device, like Raspberry Pi to cloud service through different scenarios.