Digital Business Transformation mean a number of objectives for Network Operators and Service Providers: saving Operational costs, reducing Time to Market, improving de-commissioning procedures, improving the “quality of service” but also becoming ready for providing new ICT services, even those which are still unpredictable today. In a sentence, Telecommunications infrastructures should become “good enough” to be economically sustainable in highly dynamic and changing scenarios.
We know that SDN-NFV are considered today two of the most promising enabling technologies to achieve these goals. However, the target of increasing the levels of flexibility and programmability will determine, in turn (reverse side of the coin), higher and higher levels of management “complexity”: in fact, rather than managing sets of closed physical nodes and systems, it will be necessary allocating and orchestrating a huge number of software tasks, logically intertwined and dynamically moving.
There is also an overall consensus that 5G production (and beyond) environment will look like distributed clouds of IT systems, interconnected through ultra-low latency (radio and wired) connections, capable of executing software processes and applications, dynamically meeting Customers’ needs. As a matter of fact, already today we’re witnessing the interweaving of technologies such as Edge and Fog Computing with SDN and NFV. And “Softwarization” will allow decomposing the network and service functions into chains of software tasks. End-to-end service provisioning will require that this functional decomposition will be followed by an optimal allocation and orchestration of the virtualized functionalities across User Equipment, RAN, Mobile Edge and Core resources. Eventually, this will bring a unified service modeling whereby SDN services (e.g., controllers), NFV services (e.g., Virtual Network Functions), and Cloud services are seen as “application” executed on virtualized resources.
TOSCA (Topology and Orchestration Specification for Cloud Applications) will be a natural candidate for the Northbound interfaces of the Real-time Operating Platforms. TOSCA is a standard from OASIS that targets interoperable deployment and lifecycle management of cloud services. In fact, TOSCA uses the concept of service templates to describe cloud workloads as a topology template. The topology template describes the structure of a service as a set of node templates and relationship templates modeling the relations as a directed graph. Node templates and relationship templates (linking different nodes) in fact specify properties and operations (via interfaces) to manipulate the service components. Moreover, it is likely that the YANG declarative data modeling language will be used both to describe deployable instances of a service (e.g., a VNF) and to configure a network device/element at run time.
Eventually, TOSCA and NetConf /YANG could be considered as complementary instruments: deployment templates may trigger the NetConf /YANG configurations during the instantiation of a service, whist in the Operations the Real Time Operating Platforms can take over configurations at run time. On the Southbound interface a number of well-known configuration protocols and programming language are getting momentum: OpenFlow, NetConf, P4, etc.
At the same time we’re witnessing a growing diffusion of Internet of Things and Machine to Machine communications are creating also a new generation of non-human Customers’, such as Robots, Avatars and any sort of Artificial Intelligence applications. This “complexity”, outstripping human control and operations ability, will be tamed only by exploiting real-time Operating Platforms, based on Artificial Intelligence (A.I.) methods and systems, integrating management, control and orchestration functions. It will be necessary collecting, filtering and elaborating the infrastructure Big Data, thus “closing the loop” and making the them truly “actionable” for Operations and provisioning of services.
Real-time Operating Platforms should provide an abstraction layer for switching/networking (e.g., Switch, Ports, Links) and compute, storage resources (e.g., CPU, RAM, Disk, Ports, etc.). This allows applications and developers to request connectivity, storages and arbitrary units of compute power without one having to worry about how this translates to bare-metal, Containers or Virtual Machines. Eventually this evolution will impact deeply the current value chain: in fact, Telecommunications infrastructures, governed by real-time Operating Platforms, will become a single converged industrial structures covering voice, Internet access and other services a la OTT.
In this big leap towards Artificially Intelligent Networks, a new Community will have to be developed capable of integrating Experts in Computer Science, Telecommunications-ICT, A.I. and Applied Mathematics.