| Full text | |
| Author(s): |
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]
Total Authors: 7
|
| Affiliation: | [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
Total Affiliations: 4
|
| Document type: | Journal article |
| Source: | IEEE COMMUNICATIONS LETTERS; v. 25, n. 5, p. 1630-1634, MAY 2021. |
| Web of Science Citations: | 1 |
| Abstract | |
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) | |
| FAPESP's process: | 18/23092-1 - Telemetry orchestration in programmable data planes |
| Grantee: | Marcelo Caggiani Luizelli |
| Support Opportunities: | Regular Research Grants |