ANALYSIS OF METRICS FOR EVALUATION OF SYNTHETIC NETWORK MONITORING DATA

• Grant number: 23/11477-4
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: October 01, 2023
• Status: Discontinued
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Agreement: MCTI/MC
• Principal Investigator: Magnos Martinello
• Grantee: Guilherme Silveira Gomes Brotto
• Host Institution: Centro Tecnológico. Universidade Federal do Espírito Santo (UFES). Ministério da Educação (Brasil). Vitória , SP, Brazil
• Associated research grant: 20/05182-3 - PORVIR-5G: programability, orchestration and virtualization in 5G networks, AP.TEM
• Associated scholarship(s): 24/22752-9 - ANALYSIS OF METRICS TO EVALUATE SYNTHETIC NETWORK MONITORING DATA, BE.EP.IC

Abstract

Several applications and research involving the area of computer networks require databases to be carried out. However, due to factors such as privacy laws or internal company policies, access to these databases may be limited or impossible. In this sense, studies aimed at making this type of data available are fundamental. An alternative to this problem is to use models that can generate synthetic data from real data, preserving their characteristics and maintaining privacy. In this context, recent studies by the research group show that the generation and evaluation of some types of mobility data can be done efficiently from models optimized for time series.In the literature, however, works tend to use techniques that consider mobility data to be static and use specific techniques for the data under study, which makes it difficult to compare models considering mobility data with similar characteristics. Thus, this research project aims at the characterization and modeling of network data, focusing on the study of metrics for the evaluation of synthetic monitoring data. The selected fellow will assist in data analysis and characterization, classification of synthetic data evaluation metrics, and modeling and implementation of new metrics. (AU)