Banca de DEFESA: CARLOS FERNANDO SILVA FERNANDES DE ABREU NETO

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
DISCENTE : CARLOS FERNANDO SILVA FERNANDES DE ABREU NETO
DATA : 15/12/2020
HORA: 14:00
LOCAL: ONLINE
TÍTULO:

DYNAMIC GROUPING MODEL OF MULTIPLE DATA FLOWS USING VER IN TRANSLUCENT OPTICAL NETWORKS

PALAVRAS-CHAVES:

Optical Elastic Networks, Translucent Elastic Networks, Service Provisioning, Allocationof regenerators.

PÁGINAS: 85
GRANDE ÁREA: Ciências Exatas e da Terra
ÁREA: Ciência da Computação
SUBÁREA: Sistemas de Computação
ESPECIALIDADE: Teleinformática
RESUMO:

With the growth in the demand for traffic on computer networks, Elastic Optical Networks emerged as a promising technological evolution of optical networks for the development of solutions focused on the efficient use of network resources. Unlike traditional WDM networks, which work with allocation of fixed grid resources, in EONs the bandwidth of an optical path is scalable and can vary according to the need for each connection, adapting dynamically to each traffic demand, ensuring the most efficient use of spectral resources. In this context, the use of resources is becoming more and more balanced, enabling greater cost reduction in several technological factors. However, with the popularization of the internet and the search to serve a greater range of technological possibilities with efficiency, researchers have been focusing their efforts towards an even more strategic use of these network resources. Translucent Elastic Optical Networks, through efficient strategies, strongly use the concept of elasticity and adaptability with the use of signal regeneration equipment. The Virtualized Elastic Regenerators are devices capable of adapting dynamically according to the traffic demand, where as they are no longer needed, VER is released to use new demands. In this way it is possible to serve a greater number of optical connections and reach greater distances with energy efficiency and cost reduction. These new transmission technologies have complementary characteristics, which using them combined with other concepts, brings great benefits to companies and users. The establishment of term-oriented connections can be postponed until such time as resources are available to meet the required term. The possibility of scheduling a requisition can bring benefits to both users and service providers. If there are no resources available, the establishment of a new connection may be postponed, so it is possible to handle a greater number of requests, avoiding an increase in the blocking rate. In conjunction with the scheduled provisioning of requisitions, the creation of requisition batches contributes to flexibility when establishing new connections. A batch is a set of requests that arrive at a certain time and that are not immediately provisioned, that is, each request will receive a certain deadline where your establishment must be attended to within this period. If there are no resources, at the end of the deadline the connection must be blocked. Scheduling in batches allows for greater combinations, making the most of the available network resources, thus avoiding increased energy consumption and reducing the number of blocking requests. Therefore, this work presents a new methodology to face the problem of exponential increase in traffic on the communication network, considering cost reduction naturally a priority. In order to achieve these expectations, the proposed methodology consists of the development of a dynamic pooling and resource sharing model for regeneration equipment, in addition to the combination of technologies in the creation of requisition batches with scheduled provisioning. The results obtained through simulations by software implemented by the author himself, indicate that the model proved to be effective, and was able to considerably reduce the blocking rate, the amount of resources with VER used and consequently generated greater energy efficiency, when compared to them methods without using this grouping methodology, creating requisition batches and scheduled provisioning.

MEMBROS DA BANCA:
Presidente - 1814505 - GUSTAVO BITTENCOURT FIGUEIREDO
Externo à Instituição - HELDER MAY NUNES DA SILVA OLIVEIRA - UFPA
Externo à Instituição - JULIANA DE SANTI - UTFPR