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Fast Deployment of Reliable Distributed Control Planes with Performance Guarantees
RISE Research Institutes of Sweden, Digital Systems, Data Science.
RISE Research Institutes of Sweden, Digital Systems, Data Science.ORCID iD: 0000-0002-5893-7774
RISE Research Institutes of Sweden, Digital Systems, Data Science.ORCID iD: 0000-0002-9406-1562
RISE Research Institutes of Sweden, Digital Systems, Data Science. KTH Royal Institute of Technology, Sweden.ORCID iD: 0000-0002-1256-1070
2020 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 8, p. 70125-70149, article id 9051708Article in journal (Refereed) Published
Abstract [en]

Current trends strongly indicate a transition towards large-scale programmable networks with virtual network functions. In such a setting, deployment of distributed control planes will be vital for guaranteed service availability and performance. Moreover, deployment strategies need to be completed quickly in order to respond flexibly to varying network conditions. We propose an effective optimization approach that automatically decides on the needed number of controllers, their locations, control regions, and traffic routes into a plan which fulfills control flow reliability and routability requirements, including bandwidth and delay bounds. The approach is also fast: The algorithms for bandwidth and delay bounds can reduce the running time at the level of 50x and 500x, respectively, compared to state-of-the-art and direct solvers such as CPLEX. Altogether, our results indicate that computing a deployment plan adhering to predetermined performance requirements over network topologies of various sizes can be produced in seconds and minutes, rather than hours and days. Such fast allocation of resources that guarantees reliable connectivity and service quality is fundamental for elastic and efficient use of network resources.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2020. Vol. 8, p. 70125-70149, article id 9051708
Keywords [en]
controller placement problem, distributed control plane, latency, optimization, reliability, routability, Software-defined networking, Deployment strategy, Distributed control planes, Guaranteed service, Network condition, Optimization approach, Performance guarantees, Performance requirements, Programmable network, Bandwidth
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:ri:diva-45004DOI: 10.1109/ACCESS.2020.2984500Scopus ID: 2-s2.0-85084139242OAI: oai:DiVA.org:ri-45004DiVA, id: diva2:1432419
Note

Funding details: 671639; Funding details: VINNOVA, 2018-00735; Funding details: Stiftelsen för Strategisk Forskning, SSF, RIT15-0075; Funding text 1: This work was supported in part by the Swedish Foundation for Strategic Research (SSF) Time Critical Clouds under Grant RIT15-0075, in part by the Commission of the European Union in terms of the 5G-PPP COHERENT project under Grant 671639, and in part by the Celtic Plus 5G-PERFECTA (Vinnova) under Grant 2018-00735.

Available from: 2020-05-27 Created: 2020-05-27 Last updated: 2023-05-16

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Steinert, RebeccaVesselinova, NataliaKostic, Dejan

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