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IntOpt :
IntOpt : In-band Network Telemetry optimization framework to monitor network slices using P4
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- Bhamare, Deval (författare)
- University of Surrey, United Kingdom
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- Kassler, Andreas, 1968- (författare)
- Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013)
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- Vestin, Jonathan, 1989- (författare)
- Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013)
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- Khoshkholghi, Mohammad Ali (författare)
- King's College London, United Kingdom
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- Taheri, Javid (författare)
- Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013)
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- Mahmoodi, Toktam (författare)
- King's College London, United Kingdom
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- Öhlén, Peter (författare)
- Ericsson Research, Stockholm
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- Curescu, Calin (författare)
- Ericsson Research, Stockholm
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(creator_code:org_t)
- Elsevier, 2022
- 2022
- Engelska.
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Ingår i: Computer Networks. - : Elsevier. - 1389-1286 .- 1872-7069. ; 216
- Relaterad länk:
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https://doi.org/10.1...
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https://kau.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- The emergence of Network Functions Virtualization (NFV) is being heralded as an enabler of the recent technologies such as 5G/6G, IoT and heterogeneous networks. Existing NFV monitoring frameworks either do not have the capabilities to express the range of telemetry items needed to perform management or do not scale to large traffic volumes and rates. We present IntOpt, a scalable and expressive telemetry system designed for flexible NFV monitoring using active probing and P4. IntOpt allows us to specify monitoring requirements for individual service chain, which are mapped to telemetry item collection jobs that fetch the required telemetry items from P4 programmable data-plane elements. We propose mixed integer linear program (MILP) as well as a simulated annealing based random greedy (SARG) meta-heuristic approach to minimize the overhead due to active probing and collection of telemetry items. Using P4-FPGA, we benchmark the overhead for telemetry collection. Our numerical evaluation shows that the proposed approach can reduce monitoring overheads by 39% and monitoring delays by 57%. Such optimization may as well enable existing expressive monitoring frameworks to scale for larger real-time networks.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Telekommunikation (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Telecommunications (hsv//eng)
Nyckelord
- 5G mobile communication systems; Heterogeneous networks; Heuristic methods; Indium compounds; Integer programming; Network function virtualization; Simulated annealing; Telemetering equipment; Transfer functions; Virtual reality
- Active probing; In-band; In-band network telemetry; Monitoring frameworks; Network function virtualization; Optimization framework; Service function chain; Service functions; Traffic rate; Traffic volumes
- Monitoring
- Computer Science
- Datavetenskap
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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