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Automatic Data Plane Slice Provisioning on Mobile-CORD
Javier Diaz Rivera(디아즈 리베라 하비에르),Wang-Cheol Song(송왕철) 한국정보과학회 2020 정보과학회논문지 Vol.47 No.5
5G 이동통신은 다양한 이기종 사용자 장비(UE) 연결에 적합한 생태계를 제공하는 것을 목표로 한다. 이 생태계는 다목적 UE를 포함하고 있기 때문에, 정보 전송을 서비스하는 데이터 플레인 이용자가 소비하고 있는 서비스에 맞게 조정할 필요가 있다. 이 논문은 네트워크 슬라이싱, SDN(Software-Defined Networking), NFV(Network Functions Virtualisation) 및 서비스 조정을 위한 플랫폼을 사용하여 네트워크 계약의 QoS 정책을 기반으로 EPC(Evolved Packet Core) 시스템의 데이터 플레인 슬라이스를 조정할 수 있는 데이터 플레인 프로비저닝 모듈의 설계를 소개하고자 한다. The goal of the 5G mobile network is to provide the right ecosystem for diverse and heterogeneous user equipment (UE) connections. As this ecosystem contains multipurpose UE, the data plane that serves the transmission of information must be tailored to accommodate the services that are being consumed by users. By using Network Slicing, Software-Defined Networking (SDN), Network Functions Virtualisation (NFV) and a platform for Service Orchestration, this paper showcases a design for a Data Plane Provisioning Module that can adjust the Data Plane Slices of an Evolved Packet Core (EPC) system on the basis of QoS policies defined as high-level contracts on the Application Layer of a Three-Tiered Architecture.
Network Slice Selection Function on M-CORD
Javier Diaz Rivera,Talha Ahmed Khan,Mehmood Asif,송왕철 한국통신학회 2018 KNOM Review Vol.21 No.2
As Network Slicing functionality gets applied to mobile networking, a mechanism that enables the selection of network slices becomes indispensable. Following the 3GPP Technical Specification for the 5G Architecture, the inclusion of the Network Slice Selection Function (NSSF) in order to leverage the process of slice selection is apparent. However, actual implementation of this network function needs to deal with the dynamic changes of network instances, due to this, a platform that supports the orchestration of Virtual Network Functions (VNF) is required. Our proposed solution include the use of the Central Office Rearchitected as a Data Center (CORD) platform, with the specified profile for mobile networks (M-CORD) that integrates a service orchestrator (XOS) alongside solutions oriented to Software Defined Networking (SDN), Network Function Virtualization (VNF) and virtual machine management through OpenStack, in order to provide the right ecosystem where our implementation of NSSF can obtain slice information dynamically by relying on synchronization between back-end services and network function instances.
Autoscaling Mechanism based on Execution-times for VNFM in NFV Platforms
Asif Mehmood,Javier Diaz Rivera,Talha Ahmed Khan,송왕철 한국통신학회 2019 KNOM Review Vol.22 No.1
The process to determine the required number of resources depends on the factors being considered. Autoscaling is one such mechanism that uses a wide range of factors to decide and is a critical process in NFV. As the networks are being shifted onto the cloud after the invention of SDN, we require better resource managers in the future. To solve this problem, we propose a solution that allows the VNFMs to autoscale the system resources depending on the factors such as overhead of hyperthreading, number of requests, execution-times for the virtual network functions. It is a known fact that the hyperthreaded virtual-cores are not fully capable of performing like the physical cores. Also, as there are different types of core having different frequencies so the process to calculate the number of cores needs to be measured accurately and precisely. The platform independency is achieved by proposing another solution in the form of a monitoring microservice, which communicates through APIs. Hence, by the use of our autoscaling application and a monitoring microservice, we enhance the resource provisioning process to meet the criteria of future networks.
Asif Mehmood,Afaq Muhammad,Javier Jose Diaz Rivera,Wang-Cheol Song 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.11
With the need of multi-access edge computing (MEC) for real-time processing and compatibility between multi-domain edge applications, cellular vehicle-to-everything (C-V2X) is gaining attention. MEC applications responsible to provide information to other applications play a key role in performance. Specifically, the latency involved in the process of provisioning the information of virtual on-board units (vOBU) is crucial for the support of MEC use cases. To overcome this, before exposing the location information of a vehicle at edge, the proposed system applies kalman filter prediction on it. Performance results of the prediction module are shown to be accurate and ahead of time, which acts as a basis to support the idea of exposing vehicle information at the edge to support real-time MEC use cases.