[PDP]

[PDP 4]

Keywords:

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OECC/PSC 2019

Postdeadline Paper Sessions | Postdeadline Paper Sessions

Postdeadline Paper (PDP) Session Wed. Jul 10, 2019 4:45 PM - 6:00 PM Room B (409+410, 4F, Fukuoka International Congress Center)

First Demonstration of End-to-End Network Slicing withTransport Network Coordination and Edge Cloud Applications in5G Era

〇Shinya Nakamura1, Kohei Shiomoto2, Hyde Sugiyama3, Yusuke Hirota4, Noboru Yoshikane5, Kentaro

Sugawara6, Masatake Miyabe7, Tomotaka Eguchi8, Satoru Okamoto9, Masaki Murakami9, Takahiro Hirayama4,

Ikuo Sato10, Thomas Roux1 （1UBiqube, Japan, 2Tokyo City Univ., Japan, 3Red Hat, Japan, 4National Institute

of Information and Communications Technology (NICT), Japan, 5KDDI Research Inc., Japan, 6ALAXALA

Networks Corp., Japan, 7Fujitsu Laboratories Ltd., Japan, 8Keysight Technologies Japan K.K., Japan, 9Keio

Univ., Japan, 10OA Laboratory Co., Ltd., Japan）

Field trials, testbeds, and interoperability demonstrations of optical networks, Optical

core/metro/datacenter network architecture, design, virtualization, slice, control and

management.

End-to-end network slicing over a multi-layer transport network is demonstrated, showing that network

automation in coordination with edge cloud enables 5G applications such as autonomous driving vehicle

and automatic resource management for service function chaining.

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First Demonstration of End-to-End Network Slicing with Transport Network Coordination

and Edge Cloud Applications in 5G Era

Shinya Nakamura1, Kohei Shiomoto2, Hyde Sugiyama3, Yusuke Hirota4, Noboru Yoshikane5, Kentaro Sugawara6, Masatake Miyabe7, Tomotaka Eguchi8, Satoru Okamoto9, Masaki Murakami9,

Takahiro Hirayama4, Ikuo Sato10, Thomas Roux1 1 UBiqube,2 Tokyo City University, 3 Red Hat, 4 National Institute of Information and Communications Technology (NICT),

5 KDDI Research Inc., Japan, 6 ALAXALA Networks Corp., 7 FUJITSU LABORATORIES LTD., 8 Keysight Technologies Japan K.K., 9 Keio University, 10 OA Laboratory Co., Ltd.,

1nshinya@ubiqube.com, 2shiomoto@tcu.ac.jp, 3hsugiyam@redhat.com, 4hirota.yusuke@nict.go.jp, 5yoshikane@kddi-research.jp

Abstract: End-to-end network slicing over a multi-layer transport network is demonstrated, showing that network automation in coordination with edge cloud enables 5G applications such as autonomous driving vehicle and automatic resource management for service function chaining. Keywords: Field trials, testbeds, and interoperability demonstrations of optical networks, Optical core/metro/data-center network architecture, design, virtualization, slice, control and management.

I. INTRODUCTION

Industries will be undergoing significant and radical evolution, which will challenge their “digital transformation” to enable new services and revenue growth in the 5G networks that provide the new use cases such as eMBB (enhanced Mobile BroadBand), URLCC (Ultra-Reliable and Low Latency Communications) and mMTC (Massive Machine Type Communications). Those 5G use cases and specifications are designed as “cloud-native”. Many technologies and solutions are inherited from cloud computing and virtualization to realize new service use cases such as MR (Mixed Reality), IoT (Internet of Things), Robotics, V2X (Vehicle to everything), Industry 4.0 applications and so on [1-4]. “Network Slicing” is an important and mandatory feature to provide diverse services over Transport Networks (TNs). Yet, only instruction of requirements to the relevant TN is stipulated. Operations and management requirements for TN to satisfy 5G service requirements remain unstipulated [2, 5]. We believe methods and standards for coordinated management between TN and 5G “Network Slicing” is the most important domain for the future 5G optimized TN and services architectures. 5G optimized TN needs to be coordinated and managed according to each 5G Network Slice’s performance requirement. How the optimized TN should be mapped into the specific 5G Network Slice is a major issue and needs to be addressed to realize optimized 5G TN. This paper describes the world-first showcase of automation of 5G Network slice and TN's coordination technologies with 5G applications using 3rd party API (Application Programming Interface). The application-aware TN Slicing Automation enables Multi-access Edge Computing service for Autonomous Driving Vehicle (ADV) [6] control and Automatic Resource Management (ARM) for Service Function Chaining (SFC) [7].

II. PROPOSED SYSTEM ARCHITECTURE

Figure 1 depicts the proposed system architecture to demonstrate the coordination of 5G Network Slices and TNs. This testbed has been architected with four-layers-configuration, such as (1) 5G Applications, (2) Operations Automation and Orchestration, (3) Edge Clouds, and (4) Transport Network (TN). On the top, we have implemented two types of 5G applications, namely ADV service and ARM service. These 5G services are instantiated as Virtual Network Functions (VNFs) in each Edge Cloud and Data Center environments. Here, we are assuming that 5GC (5G Core) and NGRAN (Next Generation Radio Access Network) are virtually available in this architecture.

III. DEMONSTRATION OF THE APPLICATION-AWARE TN SLICING AUTOMATION

Figure 2 shows the testbed network configuration including Data Plane and Management Plane. TN infrastructure consists of various network element types, such as L1/L2-multi-layers switch, IP Routers which are provided as one of the functions of Reconfigurable Communication Processors (RCPs)[8], all-optical MEMS switch, and 100 Gbps Transponders supporting Open ROADM Multi-Source Agreement [9]. Those NEs are inter-connected with each other using 100/10 Gbps links. JGN [10] is used for accessing to ADV cloud servers. To orchestrate and automate “5G Network Slice” and coordinated TN resources which we call “TN Slice”, we have implemented following three Open Source Softwares (OSSs) as components for Operations Automation and Orchestration:

PDP 4

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Fig. 1. Proposed system architecture

• 3scale [11] API GW (Application Programming Interface GateWay) software running in OKD (Open Kubernetes Distribution)/Openshift [12]: Providing the API infrastructure to manage APIs for internal or external users brokerage/coordination services among multiple 3rd party applications, 5GC and TN.

• Ansible Tower [13], and • UBiqube OpenMSA [14]: Providing Operations Automation, Zero Touch Provisioning, and Orchestration for 5GC,

Edge Clouds, and TN. Figure 3 (a) shows end-to-end message flow among 5G Applications, Operations Automation and Orchestration, 5GC and TN. Each 5G Application triggers API GW which is Northbound Interface (NBI) of the Operations Automation and Orchestration to request a creation of the "5G Network Slice" and "TN Slice", according to each application's service requirements. The service requirements such as latency, bandwidth, reliability and etc. for each application are calculated and given by the application's controllers (ADV and ARM). The API GW analyses those application-specific requirements and triggers Southbound Interface (SBI) of the Operations Automation and Orchestration to request the Slice setup for both 5GC and corresponding TN.

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Fig. 2. Testbed network configuration

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Creation of the 5G Network Slice is executed within 5GC SBA (Service Based Architecture) functions such as NEF (Network Exposure Function), SMF (Session Management Function), and UPF (User Plane Function). And TN Slice is automatically created by selecting suitable switching technologies to satisfy each application's service requirements. In this experiment, VLAN over 100 Gbps lambda path has selected to satisfy lower latency requirements from the application. In this experiment, we are assuming 5GC SBA functions are properly executing 5G Network Slice creation to trigger TN Slice creation. Finally, Operations Automation and Orchestration configure 100 Gbps Transponder supporting Open ROADM, and IP Routers in order to coordinate TN Slices as shown in Fig. 3 (b) and (c). In this demonstration, REST API and CLI (Command Line Interface, namely SSH) type of message interface have been used as NBI and SBI, and successfully confirmed the seamless automation of applications' controller to 5G TN Network Slice setup using OSS-based software.

(a) Message flow

Fig. 3. Message flow for coordinated TN slice and provisioned 100 Gbps DWDM NW and IP NW

IV. CONCLUSION

We have successfully demonstrated a provisioning end-to-end network slice with transport network coordination and edge cloud application in the mixed network environment using commercially available Open ROADM and legacy network elements orchestrated by OSS-based software.

ACKNOWLEDGMENTS

These demonstrations have been partially conducted as part of the project entitled "Research and development for innovative AI network-integrated infrastructure technologies" supported by the MIC, Japan, and supported by the Research Promotion Council of Kei-han-na Info-Communication Open Laboratory, the Reconfigurable Packet Lambda Project funded by NICT of Japan, JSPS KAKENHI Grant Number JP17H03269, JGN-A18002, and the High-speed Optical Layer 1 Switch system for Time slot switching-based optical data center networks (HOLST) Project funded by the NEDO of Japan. The authors also would like to thank Dr. K. Miwa, Mr. T. Uemura, and Mr. Y. Kobari of NICT, as well as Mr. T. Kawasaki of NTT for their support on the experiment.

REFERENCES

[1] 3GPP TS 23.501 version 15.2.0 Release 15. [2] 3GPP TS 28.530 version 15.0.0 Release 15. [3] 3GPP TS 28.533 version 15.0.0 Release 15. [4] NGMN Alliance, “5G White Paper”, ver. 1.0, 2015. [5] ITU-T Technical report, GSTR-TN5G, 2018. [6] N. Yamanaka, et al., ICTON2019, We.E3.2, 2019. [7] T. Miyazawa, et al., IEEE/IFIP NOMS 2018. < https://ieeexplore.ieee.org/document/8406235> [8] C. Hara, et al,. OFC2019, M3Z.12, 2019. < https://ieeexplore.ieee.org/document/8697000> [9] Open ROADM MSA <http://openroadm.org/home.html> [10] JGN: High Speed R&D Network Testbed < https://testbed.nict.go.jp/jgn/english/index.html> [11] 3scale <https://github.com/3scale> [12] OKD (Open Kubernetes Distribution) <https://www.okd.io/> [13] Ansible Tower <https://www.ansible.com/products/awx-project> [14] OpenMSA <https://www.openmsa.co/>