Shared Virtual Function Orchestration Technique
https://doi.org/10.18255/1818-1015-2019-1-7-22
Abstract
Network function virtualization (NFV) is a promising technique of high quality, flexible and scalable service for telecommunication companies clients and for enterprise data center clients. One of the important capabilities of this technique is providing a virtual service as a combination of multiple virtual functions. There are two types of virtual functions: those intended for a single customer (su-VF) and those that can serve multiple users (mu-VF). In case when output of mu-VF is chained with inputs of several different su-VFs, there is a need for a mechanism of identification and separation of users network flows passing through mu-VF to allocate them correctly between inputs of su-VFs in the NFV infrastructure. In the cloud environment, it is not always possible to use VLAN tags, IP and MAC addresses for that. In this paper, we consider the problem of identification of network traffic coming from a certain user inside an NFV platform and present a solution implemented in C2 MANO-platform.
Supporting agencies: Russian Foundation for Basic Research, Grant No 18-07-01245
About the Authors
Vitaly A. Antonenko
Lomonosov Moscow State University
Russian Federation
Russian Federation
PhD
GSP-1, Leninskie Gory, Moscow, 119991
Ruslan L. Smeliansky
Lomonosov Moscow State University
Russian Federation
Russian Federation
Corresponding Member of Russian Academy of Sciences, professor, doctor of sciences
GSP-1, Leninskie Gory, Moscow, 119991
Artem V. Plakunov
Applied Research Center for Computer Networks
Russian Federation
Russian Federation
senior software developer
1, bd. 77 Leninskie Gory, Moscow, 119992
Pavel A. Mikheev
Applied Research Center for Computer Networks
Russian Federation
Russian Federation
software developer
1, bd. 77 Leninskie Gory, Moscow, 119992
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Review
For citations:
Antonenko V.A., Smeliansky R.L., Plakunov A.V., Mikheev P.A. Shared Virtual Function Orchestration Technique. Modeling and Analysis of Information Systems. 2019;26(1):7-22. (In Russ.) https://doi.org/10.18255/1818-1015-2019-1-7-22
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