Service Migration in Multi-domain Cellular Networks based on Machine Learning Approaches

Pomalo, Marco; Le, Van Thanh; Ioini, Nabil El; Pahl, Claus; Barzegar, Hamid Reza

doi:10.1109/iotsms52051.2020.9340223

Cited by 10 publications

(4 citation statements)

References 20 publications

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“…Therefore, it seems necessary to develop solutions enabling the global management of edge servers deployed at different levels (infrastructure, UE) and accessible through different RATs and different operators. To achieve this, various solutions appear to be relevant and have started to be explored in this context, notably, SDN [ 137 , 138 ] and AI techniques [ 139 , 140 ].…”

Section: Future Directionsmentioning

confidence: 99%

Multi-Connectivity for 5G Networks and Beyond: A Survey

Sylla

Mendiboure

Maaloul

et al. 2022

Sensors

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To manage a growing number of users and an ever-increasing demand for bandwidth, future 5th Generation (5G) cellular networks will combine different radio access technologies (cellular, satellite, and WiFi, among others) and different types of equipment (pico-cells, femto-cells, small-cells, macro-cells, etc.). Multi-connectivity is an emerging paradigm aiming to leverage this heterogeneous architecture. To achieve this, multi-connectivity proposes to enable UE to simultaneously use component carriers from different and heterogeneous network nodes: base stations, WiFi access points, etc. This could offer many benefits in terms of quality of service, energy efficiency, fairness, mobility, and spectrum and interference management. Therefore, this survey aims to present an overview of multi-connectivity in 5G networks and beyond. To do so, a comprehensive review of existing standards and enabling technologies is proposed. Then, a taxonomy is defined to classify the different elements characterizing multi-connectivity in 5G and future networks. Thereafter, existing research works using multi-connectivity to improve the quality of service, energy efficiency, fairness, mobility management, and spectrum and interference management are analyzed and compared. In addition, lessons common to these different contexts are presented. Finally, open challenges for multi-connectivity in 5G networks and beyond are discussed.

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Section: Future Directionsmentioning

confidence: 99%

Multi-Connectivity for 5G Networks and Beyond: A Survey

Sylla

Mendiboure

Maaloul

et al. 2022

Sensors

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“…Downtime occurs when a VM or container is unavailable during migration while a device is handed off from one edge node to the next [23]. Downtime caused by VM/container migrations lies in the range of seconds to minutes [15,[24][25][26][27][28][29][30]. The delay is strongly affected by the amount of downtime and page faults [31,32].…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, since the mobile IoT device must migrate from the old connection point to the new one throughout the procedure, it cannot access services or data during hand-off. There has been considerable work focused on reducing downtime [15,[25][26][27][28][29]33]. Live migration techniques could facilitate downtime issues by sending and receiving data while the VM or container is still operating at the source or destination.…”

Section: Introductionmentioning

confidence: 99%

MiGrror: Mitigating Downtime in Mobile Edge Computing, An Extension to Live Migration

Rezazadeh

Abednezhad²,

Lutfiyya

2022

Procedia Computer Science

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“…Minimizing delays and maintaining service continuity during the handover process to achieve better performance for mobile users has attracted the attention of many researchers and organizations in the domain of telecommunications and mobile communications Chipta et al (2021); Safa Abd ELWahab and Abbas (2020); Rahman et al (2019); Lal et al (2017); Pomalo et al (2020). In this context, continuity enables services to "follow" their respective UEs/users during their journey by migrating all (or portions) of services to the optimal radio base station node, for example, NodeB and eNodeB in Follow Me Cloud (FMC) has been introduced by Taleb and Ksentini (2013) to solve the problem of service continuity between a distributed MNOs and a network of regional Data Centers (DC) on 4G/LTE networks.…”

Section: Introductionmentioning

confidence: 99%

Cooperative, Connected and Automated Mobility Service Continuity in a Cross-Border Multi-Access Edge Computing Federation Scenario

Hosseini

Jooriah

Rocha

et al. 2022

Front. Future Transp.

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The paradigm shift in transportation systems towards Cooperative, Connected and Automated Mobility (CCAM) aims to improve vehicle maneuverability, reduce pollution, and increase safety. CCAM is primarily responsible for ensuring the best mobility environment, making it one of the main trends in the automotive industry. However, taking advantage of CCAM in Cross-Border Corridors (CBCs) faces many challenges, which go beyond infrastructure deployment cost, and all of which are related to supporting Service Continuity (SC) for mobile users, especially in light of the diversity of territories, network coverage areas, international roaming agreements, and type of cooperative maneuvers. As a solution to these challenges, the paper proposes and implements a new architecture for CCAM SC in CBCs that combines a federation of Multi-access Edge Computing (MEC) concepts to maintain SC.

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Service Migration in Multi-domain Cellular Networks based on Machine Learning Approaches

Cited by 10 publications

References 20 publications

Multi-Connectivity for 5G Networks and Beyond: A Survey

Multi-Connectivity for 5G Networks and Beyond: A Survey

MiGrror: Mitigating Downtime in Mobile Edge Computing, An Extension to Live Migration

Cooperative, Connected and Automated Mobility Service Continuity in a Cross-Border Multi-Access Edge Computing Federation Scenario

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