Near-Optimal Probing Planning for In-Band Network Telemetry
| Autor: | Ariel Góes De Castro, Fernando M. V. Ramos, Arthur Francisco Lorenzon, Marcelo Caggiani Luizelli, Roberto Iraja Tavares da Costa Filho, Christian Esteve Rothenberg, Fábio Diniz Rossi |
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| Rok vydání: | 2021 |
| Předmět: |
Computer science
Heuristic (computer science) Network packet Real-time computing 020206 networking & telecommunications 02 engineering and technology Network monitoring Computer Science Applications Data modeling Modeling and Simulation Factor (programming language) Telemetry 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Routing (electronic design automation) computer computer.programming_language |
| Zdroj: | IEEE Communications Letters. 25:1630-1634 |
| ISSN: | 2373-7891 1089-7798 |
| Popis: | 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 (P2INT) 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 P2INT outperforms the closest contender by a factor of up to 6x concerning the number of probing cycles generated. |
| Databáze: | OpenAIRE |
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