Putting Intelligence in the Network Edge Through NFV and Cloud Computing: The SESAME Approach

Chochliouros, Ioannis P.; Spiliopoulou, Anastasia S.; Κωστόπουλος, Αλέξανδρος; Belesioti, Maria; Sfakianakis, Evangelos; Georgantas, Philippos; Vasilaki, Eirini; Neokosmidis, Ioannis; Rokkas, Theodoros; Dardamanis, Athanassios

doi:10.1007/978-3-319-65172-9_59

Cited by 10 publications

(10 citation statements)

References 14 publications

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“…1 where the working architecture is illustrated, with emphasis on the functional elements and interfaces. The proposed architecture [45][46][47][48] allows multiple network operators (tenants) to provide services to their users through a set of CESCs deployed, owned and managed by a third party (i.e., the CESC provider). In this way, operators can extend the capacity of their own 5G RAN in areas where the deployment of their own infrastructure could be expensive and/or inefficient, as it would be the case of, for example, highly dense areas where massive numbers of SCs would be needed to provide the expected services.…”

Section: The Proposed 5g Essence Approachmentioning

confidence: 99%

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5G for the Support of Public Safety Services

Chochliouros

Spiliopoulou

Lazaridis

et al. 2021

Wireless Pers Commun

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Next-generation mobile technologies are the enablers for meeting the variable specific requirements of the public safety (PS) community. In particular, due to the development of commercially deployed 5G networks, PS providers look for ways to implement related solutions upon such infrastructures, potentially in a shared use with existing commercial networks. In particular, LTE and 5G NR networks are rapidly gaining recognition as an all-inclusive critical communications platform for the delivery of both mission and business critical applications. Within this scope, we take into account the innovative architectural approach that has been proposed by the 5G ESSENCE project, addressing the paradigms of edge computing and small cell as-a-service that has been realised via a cloud-enabled small cell infrastructure leveraging multi-access technologies in 5G, where we propose a dedicated PS use case, able to offer a mission critical push-to-talk service as well as a Chat and Localisation service. Each one of these services is associated to a dedicated network slice within the scope of the corresponding fundamental 5G ESSENCE architecture and both services are provided via suitable VNFs, thus offering great flexibility to serve PS needs together. We further discuss the overall scenario deployment with the related technical enablers and the proposed functionalities, per case. The corresponding end-to-end slicing makes possible to allocate both radio and cloud resources to the involved critical actors, in an automated and elastic way.

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Section: The Proposed 5g Essence Approachmentioning

confidence: 99%

“…In the context of the deployed 5G ESSENCE architectural framework [47,48] the corresponding NFVI (Network Function Virtualisation Infrastructure) is realised across two dedicated tiers (i.e. : the Main DC and the Light DC), thus dealing with wider distribution and heterogeneity-related features.…”

Section: The Proposed 5g Essence Approachmentioning

confidence: 99%

5G for the Support of Public Safety Services

Chochliouros

Spiliopoulou

Lazaridis

et al. 2021

Wireless Pers Commun

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“…To achieve these ambitious goals, the 5G ESSENCE project leverages the paradigms of RAN scheduling and, additionally, it provides an enhanced, edge-based, virtualised execution environment attached to the small cell, taking advantage and reinforcing the concepts of MEC and network slicing [23]. The architecture provided so far by the SESAME project ( [7], [8]) acts as a "solid reference point" for 5G ESSENCE. It combines the current 3GPP framework for network management in RAN sharing scenarios and the ETSI NFV framework for managing virtualised network functions [19].…”

Section: The Fundamental 5g Essence Architectural Contextmentioning

confidence: 99%

“…During 5G-PPP Phase-1, the ongoing SESAME project [6] evolved the small cell (SC) concept by integrating processing power (i.e., a low-cost micro-server) and by enabling the execution of applications and network services, in accordance to the Mobile Edge Computing (MEC) paradigm [7]. It also provides network intelligence and applications by leveraging the Network Function Virtualisation (NFV) concept [8]. The SESAME platform consists of one or more clusters of "Cloud -Enabled" Small Cells (CESCs), which are devices that include both the processing power platform and the small cell unit.…”

Section: Introduction: the 5g Essence Context In The 5g Eramentioning

confidence: 99%

Enhancing Network Management via NFV, MEC, Cloud Computing and Cognitive Features: The “5G ESSENCE” Modern Architectural Approach

Chochliouros¹,

Spiliopoulou²,

Kourtis³

et al. 2018

IFIP Advances in Information and Communication Technology

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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“…This led to the recent paradigm of Network Function Virtualization (NFV) [1], where general-purpose private cloud infrastructures allows for quickly provisioning virtualized resources (i.e., network slices) in which to instantiate flexible virtualized network functions (VNFs), seconding the instantaneous workload conditions and their requirements. This way, a more intelligent use of physical resources can be pursued [2].…”

Section: Introductionmentioning

confidence: 99%

Forecasting Operation Metrics for Virtualized Network Functions

Cucinotta

Lanciano

Ritacco

et al. 2021

2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid)

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Network Function Virtualization (NFV) is the key technology that allows modern network operators to provide flexible and efficient services, by leveraging on general-purpose private cloud infrastructures. In this work, we investigate the performance of a number of metric forecasting techniques based on machine learning and artificial intelligence, and provide insights on how they can support the decisions of NFV operation teams. Our analysis focuses on both infrastructure-level and service-level metrics. The former can be fetched directly from the monitoring system of an NFV infrastructure, whereas the latter are typically provided by the monitoring components of the individual virtualized network functions. Our selected forecasting techniques are experimentally evaluated using real-life data, exported from a production environment deployed within some Vodafone NFV data centers. The results show what the compared techniques can achieve in terms of the forecasting accuracy and computational cost required to train them on production data.

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Putting Intelligence in the Network Edge Through NFV and Cloud Computing: The SESAME Approach

Cited by 10 publications

References 14 publications

5G for the Support of Public Safety Services

5G for the Support of Public Safety Services

Enhancing Network Management via NFV, MEC, Cloud Computing and Cognitive Features: The “5G ESSENCE” Modern Architectural Approach

Forecasting Operation Metrics for Virtualized Network Functions

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