Latency-aware Service Placement and Live Migrations in 5G and Beyond Mobile Systems

Mada, Badr Eddine; Bagaa, Miloud; Tale, Tarik; Flinck, Hannu

doi:10.1109/icc40277.2020.9148940

Cited by 16 publications

(25 citation statements)

References 11 publications

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“…Furthermore, that evaluation is carried out via simulations using mobility pattern data. [26] addresses the problem of live migrating multiple mobile services across centralized and edge clouds while maintaining high Quality-of-Service (QoS) to ensure that Service Level Agreements (SLAs) are not violated. Their approach is based on a mathematical formulation of the problem, and the proposed model is carried out using simulations, limiting its applicability to real wireless network settings.…”

Section: E Related Work In Detailmentioning

confidence: 99%

Toward a Live BBU Container Migration in Wireless Networks

Schiller¹,

Ajayi²,

Weber

et al. 2022

IEEE Open J. Commun. Soc.

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Cloud Radio Access Networks (Cloud-RANs) have recently emerged as a promising architecture to meet the increasing demands and expectations of future wireless networks. Such an architecture can enable dynamic and flexible network operations to address significant challenges, such as higher mobile traffic volumes and increasing network operation costs. However, the implementation of compute-intensive signal processing Network Functions (NFs) on the General Purpose Processors (General Purpose Processors) that are typically found in data centers could lead to performance complications, such as in the case of overloaded servers. There is therefore a need for methods that ensure the availability and continuity of critical wireless network functionality in such circumstances.Motivated by the goal of providing highly available and fault-tolerant functionality in Cloud-RAN-based networks, this paper proposes the design, specification, and implementation of live migration of containerized Baseband Units (BBUs) in two wireless network settings, namely Long Range Wide Area Network (LoRaWAN) and Long Term Evolution (LTE) networks. Driven by the requirements and critical challenges of live migration, the approach shows that in the case of LoRaWAN networks, the migration of BBUs is currently possible with relatively low downtimes to support network continuity. The analysis and comparison of the performance of functional splits and cell configurations in both networks were performed in terms of fronthaul throughput requirements. The results obtained from such an analysis can be used by both service providers and network operators in the deployment and optimization of Cloud-RANs services, in order to ensure network reliability and continuity in cloud environments.

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Section: E Related Work In Detailmentioning

confidence: 99%

Toward a Live BBU Container Migration in Wireless Networks

Schiller¹,

Ajayi²,

Weber

et al. 2022

IEEE Open J. Commun. Soc.

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“…With AIRO framework, multiple AI managed clusters can collaborate to satisfy the requirements of selfdriving vehicles. Indeed, with the help of the E2E service management domain, the AI agents can collaborate, for instance, on the placement and relocation of VNFs problem [16].…”

Section: Scenariosmentioning

confidence: 99%

AI-Based Resource Management in Beyond 5G Cloud Native Environment

et al. 2021

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5G system and beyond targets a gigantic number of emerging applications and services that will create an extra overhead on the network traffic. Moreover, these industrial verticals have aggressive, contentious, and conflicting requirements that make the network have an arduous mission for achieving the desired objectives. It is expected to get requirements with close to zero time latency, high data rate, and network reliability. Fortunately, a ray of hope comes shining the way of telecom providers with the new progress and achievements in machine learning, cloud computing, micro-services, and the ETSI Zerotouch network and Service Management (ZSM) era. For this reason there is a colossal impetus from industries and academia towards applying these techniques by creating a new concept called Cognitive Cloud Native environment that can cohabit and adapt according to the network and resource state, and perceived Key Performance Indicators (KPIs). In this paper, we pursue the aforementioned concept by providing a unified hierarchical closed-loop network and service management framework that can meet the desired objectives. Also, we have proposed a cloud-native simulator that accurately mimics cloud-native environments, and enables us to quickly evaluate new frameworks and ideas. The simulation results demonstrate the efficiency of our simulator for parroting the real testbeds in various metrics.

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“…Based on the mobility patterns of the UAVs and the latency associated to the different VNFs, the latter can be reshuffled during the UAV flight within the same cloud domain or over multiple-administrative cloud domains. This implies service migration and reallocation from an edge cloud to another edge cloud while ensuring a smooth and zerodowntime migration of the VNF and the underlying uRLLC service [12]. Indeed, the prior knowledge on the mobility patterns of the UAVs can be used to address two challenges related to service migration and reallocation: i) deciding when to trigger the service migration/reallocation process; ii) deciding where to migrate/reallocate the service.…”

Section: Key Performance Indicators Kpi(s) Monitoring Interfacesmentioning

confidence: 99%

On Supporting UAV Based Services in 5G and Beyond Mobile Systems

et al. 2021

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While Unmanned Aerial Vehicles (UAVs) are expected to introduce disruptive innovations in our society, it is foreseen that the used communication technology is the key factor that can unlock their potentials. To this end, the upcoming generation of mobile networks, 5G-and-beyond, are envisioned to be the communication standards to support diverse UAV applications. This will also enable UAVs to benefit from the limitless progress achieved in mobile systems. To facilitate the support of UAV services in 5G-and-beyond networks, this paper introduces a framework that links the mobile telecommunication domain to the UAV domain. The proposed framework reflects an operational view enabling UAV operators to prepare and deploy their applications over different 5G mobile telecommunication networks. Moreover, the framework allows UAV operators to customize mobile systems in accordance with the specifications of their target services and to constantly receive analytical and statistical data on their running applications. Furthermore, in order to ensure network services (dedicated for UAV applications) over heterogeneous mobile systems, this article also discusses the federation of 5G networks.

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Latency-aware Service Placement and Live Migrations in 5G and Beyond Mobile Systems

Cited by 16 publications

References 11 publications

Toward a Live BBU Container Migration in Wireless Networks

Toward a Live BBU Container Migration in Wireless Networks

AI-Based Resource Management in Beyond 5G Cloud Native Environment

On Supporting UAV Based Services in 5G and Beyond Mobile Systems

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