Published November 16, 2017 | Version v1
Poster Open

RePAF Project - Dynamic and Cognitive Resource Allocation Model and Framework for MPLS, Elastic Optical Network (EON), Internet of Things (IoT) and Network Function Virtualization (NFV)

Creators

  • 1. Salvador University - UNIFACS

Contributors

  • 1. UNIFACS/IFBA
  • 2. UNIFACS
  • 3. UNEB
  • 4. UFBA
  • 5. UNIFACS/ANATEL

Description

RePAF (Resource Provisioning and Allocation Framework) Project proposes a new dynamic resource (LSP, bandwidth and lambda/ fibre) allocation solution computed  nearly on-the-fly with autonomic and cognitive characteristics.

 RePAF develops a generalized resource allocation model (RPAM – Resource Provisioning and Allocation Model) based on Bandwidth Allocation Models (BAMs) and a framework (FDARM – Framework for Dynamic and Autonomic Resource Management) that integrates RPAM functionalities towards resource allocation with autonomic and cognitive characteristics.

FDRAM framework architecture is based on OpenFlow/SDN paradigm and integrates RPAM with the autonomic and cognitive functionalities by adopting  knowledge acquisition strategies and learning techniques for resource allocation.

Files

RePAF_poster_2017-FINAL.pdf

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Additional details

Related works

Is documented by
10.17605/OSF.IO/BGQNH (DOI)