TY - GEN
T1 - 5G MEC deployments
T2 - 3rd International Conference on Artificial Intelligence, Information Processing and Cloud Computing, AIIPCC 2022
AU - Regueiro, Cristina
AU - Gutierrez-Agüero, Iván
AU - Lage, Oscar
N1 - Publisher Copyright:
© VDE VERLAG GMBH.
PY - 2022
Y1 - 2022
N2 - 5G Multi Access Edge Computing (MEC) is a rising technology aimed to reduce latency by bringing services close to the users. However, current MEC based services coverage is geographically limited and will often require of MEC data centers synchronization to avoid operation handovers when moving to a different coverage area; this is especially relevant in mobility. This paper focuses on this situation, identifying the benefits and limitations of the current MEC-based deployments to maintain the service continuity. Additionally, it proposes a theoretical method for data synchronization in future 5G MEC-based deployments to allow applications context reallocation between several MEC data centers achieving to properly offer different services in mobility. This new method is generic and can be applied to any sector (industry, health, automation, etc.).
AB - 5G Multi Access Edge Computing (MEC) is a rising technology aimed to reduce latency by bringing services close to the users. However, current MEC based services coverage is geographically limited and will often require of MEC data centers synchronization to avoid operation handovers when moving to a different coverage area; this is especially relevant in mobility. This paper focuses on this situation, identifying the benefits and limitations of the current MEC-based deployments to maintain the service continuity. Additionally, it proposes a theoretical method for data synchronization in future 5G MEC-based deployments to allow applications context reallocation between several MEC data centers achieving to properly offer different services in mobility. This new method is generic and can be applied to any sector (industry, health, automation, etc.).
UR - http://www.scopus.com/inward/record.url?scp=85145652511&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85145652511
T3 - AIIPCC 2022 - 3rd International Conference on Artificial Intelligence, Information Processing and Cloud Computing
SP - 123
EP - 129
BT - AIIPCC 2022 - 3rd International Conference on Artificial Intelligence, Information Processing and Cloud Computing
A2 - Zhang, Yu-Dong
PB - VDE Verlag GmbH
Y2 - 21 June 2022 through 22 June 2022
ER -