Five SELFNET deliverables now online available:

D2.1 Use Cases Definition and Requirements of the Systems and its components

This deliverable presents the initial design of the overall SELFNET framework. SELFNET creates an autonomic network management framework to meet the requirements of advanced self-organizing network (SON) capabilities for the 5G network infrastructure.
Key technologies are:

  • Software-Defined Networking (SDN),
  • Network Function Virtualization (NFV)
  • and network intelligence

The deliverable specifies three use cases that are used to derive the system requirements, and to validate and demonstrate the capabilities of the SELFNET framework.

The use cases are:

  • self-healing,
  • self-protection and
  • self-optimization

Furthermore, it presents a detailed list of requirements for realizing each system component as well as the use cases. (Download)

D2.2 Definition of the different APIs and Interfaces of the different components of the system

This deliverable represents the efforts made in SELFNET task 2.2 for a first definition of Interfaces and APIs in the scope of the project framework. The document sets up the guidelines that shall be followed henceforward in the specification of SELFNET APIs, describes the already identified interfaces at a high level, and makes a prospective description of the management/control flow for the various SON Use Cases throughout the various APIs and interfaces. (Download)

D2.3 Prototype and Report Framework for enabling the encapsulation of NFV and SDN Applications

This deliverable presents the analysis, design and prototype implementation of SELFNET mechanisms and procedures for the encapsulation of Network Function Virtualization (NFV) and Software Defined Network (SDN) applications.
These applications are SELFNET sensors and actuators that will support the four use cases defined in the project: self-optimization, self-healing, self-protection and a composed use case combining the previous three.
Their encapsulation basically provides common and uniform primitives and procedures to manage their lifecycle (instantiation, configuration, termination, etc.) irrespectively of the specific application logic.
In particular, two prototypes are released with this deliverable in support of Virtual Network Functions (VNFs) and SDN application lifecycle management. (Download)

D2.4 Prototype and Report for Portable Testbed over which execute virtualized NFVbased and SDN-based scenarios

This deliverable presents the design and prototype implementation of SELFNET 5G infrastructure. In line with current and emerging 5G architectural principles, visions and standards, the proposed infrastructure is established primarily based on:

  • Mobile Edge Computing paradigm and leverages Cloud Computing,
  • Software-Defined Networks (SDN) and
  • Network Function Virtualization (NFV)

as core enabling technologies. The design approach is elaborated with various design considerations described, and promising technical solutions and options analyzed. In particular, a novel portable 5G infrastructure testbed is prototyped to enable preliminary testing of the integrated key technologies, and provide a realistic execution platform for further investigating and evaluating SDN and NFV based application scenarios. (Download)

D5.1 Report and Software Libraries to deal with the Technical Autonomic Language

This deliverable summarises the details of the Tactical Autonomic Language (TAL), which was defined by taking into account SELFNET Use Cases as well as the various workflows required to provide Self-Organizing Networks (SON)-enabled autonomic management of 5G networking infrastructure. TAL has been designed through a process of several iterations of analysis and definitions of the workflows defined for the SELFNET SON Autonomic Layer. TAL is largely represented in the form of an XML Schema, and its information model is defined through an XSD, which addresses extensibility needs with respect to definitions of application types and orchestration abstraction and aggregation and analysis processes. (Download)

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