VIRTUS experiment successfully addresses the IoT interoperability challenge within the framework of 5G networks through the agility brought by the combination of virtualization and SDN, which allow network services to be automatically deployed and programmed.
VIRTUS experiment focuses on using sound data originating from the FIESTA-IoT testbeds in order to validate the INFOLYSiS interoperable IoT virtual GW prototype and then to define the specifications and the computing resource requirements of each IoT mapping function for different data volumes.
In specific, VIRTUS focuses on experimenting on top of individual FIESTA-IOT testbeds by receiving through the unique API data that originate from different testbeds, which are encapsulated in different IoT data protocols (CoAP, MQTT, HTTP) and then are fed in the IoT mapping functions that have been developed by INFOLYSiS. The mapping functions are deployed utilizing the relevant Docker containers INFOLYSiS private cloud infrastructure, where the set of the encapsulated to different IoT data protocols of the FIESTA-IoT datasets are aggregated.
VIRTUS objectives are verified by the results/metrics obtained by four experiments:
- Experiment #1: IoT interoperability provision as a Service between CoAP and HTTP over Docker-enabled infrastructure
- Experiment #2: IoT interoperability provision as a Service between MQTT and HTTP over Docker -enabled infrastructure
- Experiment #3: IoT interoperability provision as a Service between CoAP, MQTT and HTTP over Docker-enabled infrastructure
- Experiment #4: Multi-tenant IoT service isolation of three semantic specific service layers/ domains over Docker-enabled infrastructure
VIRTUS experiment results allowed INFOLYSiS to proceed with the commercialization and market introduction of the two IoT mapping functions as a Service at different price packages. INFOLYSiS two services (CoAP-to-HTTP and MQTT-to-HTTP mapping functions) will be introduced in the market following the dynamic pricing model approach where INFOLYSiS offers two different sets of three price packages depending on the customers’ data volume needs and instance requirements (one or multiple).
In specific, based on the results of the experiments 1, 2 and 3, three different packages (Small, Medium and Business) were tested, providing as outcome the minimum requirements needed for the efficiently operation of the two mapping functions under different data rates/volume. Moreover, experiment #4 confirmed the successful service isolation of the mapping functions in a SDN-enabled environment. Consequently, based on these findings, INFOLYSIS proposes the commercialization of the two mapping services under specific PaaS/VPS packages that bear sufficient characteristics for satisfying end-users needs in terms of data volume and number of instances.
Overall, analysis of VIRTUS experiment results assist INFOLYSiS to accurately develop and adapt its pricing models/strategy and based on them to further proceed with the commercialization and market introduction of its two IoT mapping functions aiming to the satisfaction of the current market needs and requirements for IoT interoperability.