What is DaaS?
In order to define the DaaS model, the fundamental theories relating to the development of digital networks were examined in depth. These analyses resulted in the creation of a new protocol designed to implement mesh topology networks with self-organising logic.
The distinctive components of DaaS technology have been the subject of scientific publications and intellectual property protections.
Extensible Protocol for Interoperant Nodes in Resilient Networks (EPRN).
The EPRN protocol is designed to support the evolution of information exchange models. It goes beyond the concept of versioned protocols, enabling communication between nodes at different evolutionary levels. While versioned protocols require the duplication of message processing logic, EPRN allows functionality to be extended while maintaining compatibility.
Similar to a human conversation, where an unfamiliar term can be clarified through repetition, EPRN enables less evolved nodes to interact with more advanced ones via dynamically negotiated adaptive models.
Protocols Switching for Reliable Communications
PSRC enables nodes to dynamically utilise the most suitable transmission technology available, thereby overcoming the constraint of technological uniformity within the network. Each node can transfer data to adjacent nodes using compatible technology.
This approach increases the network's resilience, enabling it to operate on heterogeneous segments. The selection of transport technology is managed dynamically in synergy with EPRN.
Adaptive Time Offset and Frequency Synchronisation (ATFS):
ATFS defines a model for the temporal synchronisation of nodes with respect to a shared parameter: “network time”. Nodes can only operate once they have achieved temporal alignment within an acceptable error margin.
The 'network period' represents the minimum time window for local time correction and determines the network's operating frequency.
The Fragmentation and Recomposition Model for Distributed Data (FRMD).
The FRMD model is used for the distributed management of fragmented data. Each block is divided into timed, transmissible units that are then reassembled at the destination node. This process is coordinated with respect to network time to ensure consistency and reliability of the transfer.
The DaaS paradigm introduces a model in which the network itself becomes an active system. Each node can self-determine the most efficient and secure communication channel, ensuring optimal service levels.
Unlike traditional networks, DaaS nodes use metrics to evaluate transmissions in real time, autonomously selecting the most appropriate path.
Integrating machine learning solutions into the DaaS model extends the generative approach to the dynamic management of communication resources.
In short, DaaS is a technology that creates self-organising, data-centric mesh overlay networks that are superimposed on existing infrastructures. The aim is to enable global connectivity and new services.