Probing planning for In-band network telemetry

• Grant number: 20/05115-4
• Support Opportunities: Regular Research Grants
• Start date: February 01, 2021
• End date: January 31, 2023
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Agreement: MCTI/MC
• Principal Investigator: Fábio Diniz Rossi
• Grantee: Fábio Diniz Rossi
• Host Institution: Instituto Federal Farroupilha (IFFar). Campus Santa Maria. Santa Maria , SP, Brazil
• City of the host institution: Santa Maria
• Associated researchers: Arthur Francisco Lorenzon ; Gustavo Freitas Sanchez ; Marcelo Caggiani Luizelli ; Paulo Silas Severo de Souza ; Rodrigo Neves Calheiros ; Tiago Coelho Ferreto

Abstract

In-band Network Telemetry (INT) has recently emerged as a promising real-time network monitoring approach. INT consists of instrumenting the collection of low-level network monitoring statistics directly from the data plane. Despite the existence of a few initiatives to orchestrate the collection in-band network statistics, little has yet been done to coordinate the use of active INT probes to collect network information efficiently. In this work, we introduce the Probe Planning for In-Band Network Telemetry problem. It consists of how coordinate probe packets, and how they are generated and routed to ensure that all links are visited and that all telemetry data is collected. The main idea consists of dynamic exploring the interplay between monitoring application performance metrics (\textit{e.g.}, accuracy and freshness), and the in-band telemetry data acquisition. Subsequently, we intend to make the proposed operational solutions in a network structure with programmability support. (AU)

Scientific publications

(9)

(The scientific publications listed on this page originate from the Web of Science or SciELO databases. Their authors have cited FAPESP grant or fellowship project numbers awarded to Principal Investigators or Fellowship Recipients, whether or not they are among the authors. This information is collected automatically and retrieved directly from those bibliometric databases.)

SAQUETTI, MATEUS; CANOFRE, RONALDO; LORENZON, ARTHUR F.; ROSSI, FABIO D.; AZAMBUJA, JOSE RODRIGO; CORDEIRO, WEVERTON; LUIZELLI, MARCELO C.. oward In-Network Intelligence: Running Distributed Artificial Neural Networks in the Data Plan. IEEE COMMUNICATIONS LETTERS, v. 25, n. 11, p. 3551-3555, NOV 2021. (18/23092-1, 20/05183-0, 20/05115-4)

DA SILVA, VINICIUS S.; NOGUEIRA, ANGELO G. D.; DE LIMA, EVERTON CAMARGO; ROCHA, HIAGO M. G. DE A.; SERPA, MATHEUS S.; LUIZELLI, MARCELO C.; ROSSI, FABIO D.; NAVAUX, PHILIPPE O. A.; BECK, ANTONIO CARLOS S.; LORENZON, ARTHUR FRANCISCO. Smart resource allocation of concurrent execution of parallel applications. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, SEP 2021. (20/05115-4, 18/23092-1)

VOGT, FRANCISCO GERMANO; RODRIGUEZ, FABRICIO; COSTA, FILIPO GABERT; ROTHENBERG, CHRISTIAN ESTEVE; LUIZELLI, MARCELO CAGGIANI; PATRA, GYANESH; PONGRACZ, GERGELY. DEMO: P4 Replay (P4R): Reproducing Packet Traces and Stateful Connections at Line-Rate on Your P4-capable Hardware. PROCEEDINGS OF THE 2024 SIGCOMM POSTER AND DEMO SESSIONS, SIGCOMM POSTERS AND DEMOS 2024, v. N/A, p. 3-pg., 2024-01-01. (20/05183-0, 20/05115-4)

COSTA, FILIPO G.; VOGT, FRANCISCO G.; CESEN, FABRICIO RODRIGUEZ; DE CASTRO, ARIEL GOES; LUIZELLI, MARCELO CAGGIANI; ROTHENBERG, CHRISTIAN ESTEVE. PIPO-TG: Parameterizable High-Performance Traffic Generation. PROCEEDINGS OF 2024 IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM, NOMS 2024, v. N/A, p. 9-pg., 2024-01-01. (20/05115-4, 21/06981-0, 21/00199-8)

LUIZELLI, MARCELO C.; CANOFRE, RONALDO; LORENZON, ARTHUR F.; ROSSI, FABIO D.; CORDEIRO, WEVERTON; CAICEDO, OSCAR M.. In-Network Neural Networks: Challenges and Opportunities for Innovation. IEEE NETWORK, v. 35, n. 6, p. 68-74, NOV-DEC 2021. (20/05183-0, 18/23092-1, 20/05115-4)

CANOFRE, RONALDO; CASTRO, ARIEL G.; LORENZON, ARTHUR F.; ROSSI, FABIO D.; LUIZELLI, MARCELO C.; BAROLLI, L; HUSSAIN, F; ENOKIDO, T. Towards Efficient Selective In-Band Network Telemetry Report Using SmartNICs. ADVANCED INFORMATION NETWORKING AND APPLICATIONS, AINA-2022, VOL 1, v. 449, p. 14-pg., 2022-01-01. (18/23092-1, 20/05115-4)

TEMP, DANIEL CHAVES; CAPELETTI, IGOR FERRAZZA; DE CASTRO, ARIEL GOES; SEVERO DE SOUZA, PAULO SILAS; LORENZON, ARTHUR FRANCISCO; LUIZELLI, MARCELO CAGGIANI; ROSSI, FABIO DINIZ. Latency-Aware Cost-Efficient Provisioning of Composite Applications in Multi-Provider Clouds. PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND SERVICES SCIENCE, CLOSER 2023, v. N/A, p. 9-pg., 2023-01-01. (21/06981-0, 20/05115-4, 20/05183-0)

DALLANORA, LEANDRO M.; CASTRO, ARIEL G.; DA COSTA FILHO, ROBERTO I. T.; ROSSI, FABIO D.; LORENZON, ARTHUR F.; LUIZELLI, MARCELO C.; IEEE. DyPro: Dynamic Probing Planning for In-Band Network Telemetry. 2022 27TH IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (IEEE ISCC 2022), v. N/A, p. 6-pg., 2022-01-01. (20/05115-4, 20/05183-0, 18/23092-1)

KONZEN, MARCOS PAULO; RAMIRES IZOLAN, PATRIC LINCOLN; GRIESANG, FABIO JUNIOR; DE SOUZA, PAULO SILAS; FERRETO, TIAGO COELHO; LORENZON, ARTHUR FRANCISCO; LUIZELLI, MARCELO CAGGIANI; BALZANO DE MATTOS, JULIO CARLOS; DA ROSA, CINARA EWERLING; ROSSI, FABIO DINIZ; et al. Multivariate Interpolation at the Edge to Infer Faulty IoT Sensor Metrics. PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND SERVICES SCIENCE (CLOSER), v. N/A, p. 8-pg., 2022-01-01. (18/23092-1, 20/05183-0, 20/05115-4)