Evaluating CBR Similarity Functions for BAM Switching in Networks with Dynamic Traffic Profile

06/08/2018
by   Eliseu Oliveira, et al.
0

In an increasingly complex scenario for network management, a solution that allows configuration in more autonomous way with less intervention of the network manager is expected. This paper presents an evaluation of similarity functions that are necessary in the context of using a learning strategy for finding solutions. The learning approach considered is based on Case-Based Reasoning (CBR) and is applied to a network scenario where different Bandwidth Allocation Models (BAMs) behaviors are used and must be eventually switched looking for the best possible network operation. In this context, it is required to identify and configure an adequate similarity function that will be used in the learning process to recover similar solutions previously considered. This paper introduces the similarity functions, explains the relevant aspects of the learning process in which the similarity function plays a role and, finally, presents a proof of concept for a specific similarity function adopted. Results show that the similarity function was capable to get similar results from the existing use case database. As such, the use of similarity functions with CBR technique has proved to be potentially satisfactory for supporting BAM switching decisions mostly driven by the dynamics of input traffic profile.

READ FULL TEXT
research
04/02/2019

Cognitive Management of Bandwidth Allocation Models with Case-Based Reasoning -- Evidences Towards Dynamic BAM Reconfiguration

Management is a complex task in today's heterogeneous and large scale ne...
research
06/16/2018

Applying Autonomy with Bandwidth Allocation Models

Bandwidth Allocation Models (BAMs) are resource allocation methods used ...
research
11/18/2019

Learning Similarity Attention

We consider the problem of learning similarity functions. While there ha...
research
10/28/2019

Measuring Similarity of Interactive Driving Behaviors Using Matrix Profile

Understanding multi-vehicle interactive behaviors with temporal sequenti...
research
07/26/2021

When SRv6 meets 5G Core: Implementation and Deployment of a Network Service Chaining Function in SmartNICs

Currently, we have witnessed a myriad of solutions that benefit from pro...
research
08/30/2017

Optimizing scoring function of dynamic programming of pairwise profile alignment using derivative free neural network

A profile comparison method with position-specific scoring matrix (PSSM)...
research
05/21/2019

Similarity Measure Development for Case-Based Reasoning- A Data-driven Approach

In this paper, we demonstrate a data-driven methodology for modelling th...

Please sign up or login with your details

Forgot password? Click here to reset