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Title
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Analyzing the impact of VIM systems over the MEC management and orchestration in vehicular communications
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Author
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Abstract
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| The combination of 5G and Multi-access Edge Computing (MEC) technologies can bring significant benefits to vehicular networks, providing means for achieving enhanced Quality of Service (QoS), and Quality of Experience (QoE) of wide variety of vehicular applications. Although beneficial in terms of latency reduction, the edge of the architecture for communication networks produces enormous heterogeneity of network services and resources. This challenge becomes even more severe when different administration domains are taken into consideration. Thus, efficient network Management and Orchestration (MANO) of network resources and services are inevitable. As ETSI provided guidelines and standardization for NFV MANO components, the MEC platform can be used to host network services, while MANO systems are in charge of network service management and orchestration. In this paper, we focus on the specific impact that the Virtualized Infrastructure Manager (VIM) has on the performance of the whole MANO system, used for management and orchestration of MEC services and resources in vehicular networks by enabling the on-demand service instantiation, and service teardown. In our testbed-based evaluation, we measured the network service instantiation and termination delays when evaluating: a) OpenStack and Amazon Web Services (AWS) as VIMs for Open Source MANO (OSM), and b) OpenStack and Docker in case of Open Baton. Such performance analysis with a strong experimental component can serve as a baseline for researchers and industry towards exploiting the opportunities that existing MANO solutions provide. |
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Language
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English
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Source (journal)
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Proceedings. - Los Alamitos, Calif
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NETWORKS (ICCCN 2020)
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Source (book)
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29th International Conference on Computer Communications and Networks, (ICCCN), AUG 03-06, 2020, ELECTR NETWORK
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Publication
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New york
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Ieee
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2020
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ISSN
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1095-2055
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ISBN
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978-1-72816-607-0
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DOI
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10.1109/ICCCN49398.2020.9209636
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Volume/pages
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(2020)
, 6 p.
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ISI
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000627816700032
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Full text (Publisher's DOI)
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Full text (publisher's version - intranet only)
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