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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Near-Optimal Probing Planning for In-Band Network Telemetry

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Autor(es):
Castro, Ariel G. [1] ; Lorenzon, Arthur F. [1] ; Rossi, Fabio D. [2] ; da Costa Filho, Roberto I. T. [3] ; Ramos, V, Fernando M. ; Rothenberg, Christian E. [4] ; Luizelli, Marcelo C. [1]
Número total de Autores: 7
Afiliação do(s) autor(es):
[1] Fed Univ Pampa, Dept Comp Sci, BR-97546550 Alegrete - Brazil
[2] Fed Inst Educ Sci & Technol Farroupilha, BR-97541000 Alegrete - Brazil
[3] Inst Fed Educ Cihncia & Tecnol Sul Rio Grandense, BR-96745000 Charqueadas - Brazil
[4] Univ Estadual Campinas, Fac Engn Eletr & Comp FEEC, BR-13083852 Campinas - Brazil
Número total de Afiliações: 4
Tipo de documento: Artigo Científico
Fonte: IEEE COMMUNICATIONS LETTERS; v. 25, n. 5, p. 1630-1634, MAY 2021.
Citações Web of Science: 1
Resumo

In-band Network Telemetry (INT) is gaining traction as an advanced network monitoring approach. Despite a few recent initiatives to orchestrate the collection of in-band network statistics, state-of-the-art approaches fall short when it comes to efficiently collect telemetry items while subjected to real-world constraints. In this letter, we propose Probe Planning for In-Band Network Telemetry ((PINT)-I-2) to coordinate how probing packets are generated and routed to ensure that all links are covered so that the required in-band network telemetry data is collected. We theoretically formalize the problem as a Integer Linear Programming model and propose an efficient mathematical programming-based heuristic to solve it. Our results show that (PINT)-I-2 outperforms the closest contender by a factor of up to 6x concerning the number of probing cycles generated. (AU)

Processo FAPESP: 18/23092-1 - Orquestração da telemetria em planos de dados programáveis
Beneficiário:Marcelo Caggiani Luizelli
Modalidade de apoio: Auxílio à Pesquisa - Regular