B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core

التفاصيل البيبلوغرافية
العنوان: B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core
المؤلفون: Bello Y., Allahham M.S., Refaey A., Erbad A., Mohamed A., Abdennadher N.
بيانات النشر: Institute of Electrical and Electronics Engineers Inc.
المجموعة: Qatar University: QU Institutional Repository
مصطلحات موضوعية: Web services, Amazon web services, Mobile core network, Multiple instances, Network infrastructure, Research communities, Scaling mechanism, Scaling solutions, Vertical scaling, Containers
الوصف: The increase in mobile traffic which is accompanied by a random workload, variations necessitate an upgrade of mobile network infrastructure to maintain acceptable network performance. Scaling the mobile core network (Evolved Packet Core (EPC)) has attracted the attention of the research community and many scaling solutions that utilized either horizontal or vertical scaling have been proposed. Most of these solutions tend to scale the EPC entities on virtual machines (which usually takes time to instantiate) using a dedicated scaling module at the expense of an increase in overhead. In this paper, we propose a predictive horizontal auto-scaling mechanism for a container-based EPC that utilizes the embedded functionalities offered by Amazon Web Services (AWS) to scale the containerized EPC entities according to their CPU utilization. We further, formulate an optimal load balancer to distribute traffic to multiple instances to achieve fairness and maximize their throughput. The proposed auto-scaling model is implemented on the AWS cloud platform and evaluated against the number of successful attach processes, RAM, and CPU utilization. The results reveal RAM utilization does not saturate as the number of User Equipment (UE) increases for all entities and the MME CPU utilization is more affected as the number of UE's request increases. 2021 IEEE. ; Qatar Foundation;�Qatar National Research Fund ; Scopus
نوع الوثيقة: conference object
اللغة: English
العلاقة: http://dx.doi.org/10.1109/ICCWorkshops50388.2021.9473539Test; http://hdl.handle.net/10576/30062Test
DOI: 10.1109/ICCWorkshops50388.2021.9473539
الإتاحة: https://doi.org/10.1109/ICCWorkshops50388.2021.9473539Test
http://hdl.handle.net/10576/30062Test
رقم الانضمام: edsbas.4630D19
قاعدة البيانات: BASE
الوصف
DOI:10.1109/ICCWorkshops50388.2021.9473539