• Title/Summary/Keyword: network function virtualization

Search Result 61, Processing Time 0.03 seconds

Virtualization Technology Trends in Satellite/Mobile Communication Systems (위성/이동 통신 시스템에서의 가상화 기술 동향)

  • S.Q. Lee;J.H. Lee;M.S. Lee
    • Electronics and Telecommunications Trends
    • /
    • v.39 no.1
    • /
    • pp.36-47
    • /
    • 2024
  • Virtualization technology supports the execution of software unrelated to the hardware environment through the decoupling of software and hardware. Additionally, it enables network slicing, allowing one physical device to be divided and used by a function or service by supporting sharing with isolation. Virtualization enables flexible platform use, allowing a variety of services to be launched without changes or additions to the hardware platform. We describe virtualization technology trends in satellite/mobile communication systems. Basic concepts and technical definitions are included, and the current status of research and development by domestic and foreign organizations, including the Electronics and Telecommunications Research Institute, is analyzed. Finally, future prospects and implications are discussed.

Agile Management and Interoperability Testing of SDN/NFV-Enriched 5G Core Networks

  • Choi, Taesang;Kim, TaeYeon;Tavernier, Wouter;Korvala, Aki;Pajunpaa, Jussi
    • ETRI Journal
    • /
    • v.40 no.1
    • /
    • pp.72-88
    • /
    • 2018
  • In the fifth generation (5G) era, the radio internet protocol capacity is expected to reach 20 Gb/s per sector, and ultralarge content traffic will travel across a faster wireless/wireline access network and packet core network. Moreover, the massive and mission-critical Internet of Things is the main differentiator of 5G services. These types of real-time and large-bandwidth-consuming services require a radio latency of less than 1 ms and an end-to-end latency of less than a few milliseconds. By distributing 5G core nodes closer to cell sites, the backhaul traffic volume and latency can be significantly reduced by having mobile devices download content immediately from a closer content server. In this paper, we propose a novel solution based on software-defined network and network function virtualization technologies in order to achieve agile management of 5G core network functionalities with a proof-of-concept implementation targeted for the PyeongChang Winter Olympics and describe the results of interoperability testing experiences between two core networks.

Management, Orchestration and Security in Network Function Virtualization (네트워크 기능 가상화 관리 및 오케스트레이션 기능과 보안)

  • Kim, Hyuncheol
    • Convergence Security Journal
    • /
    • v.16 no.2
    • /
    • pp.19-23
    • /
    • 2016
  • The design, management, and operation of network infrastructure have evolved during the last few years, leveraging on innovative technologies and architectures. With such a huge trend, due to the flexibility and significant economic potential of these technologies, software defined networking (SDN) and network functions virtualization (NFV) are emerging as the most critical key enablers. SDN/NFV enhancing the infrastructure agility, thus network operators and service providers are able to program their own network functions (e.g., gateways, routers, load balancers) on vendor independent hardware substrate. They facilitating the design, delivery and operation of network services in a dynamic and scalable manner. In NFV, the management and orchestration (MANO) orchestrates other specific managers such as the virtual infrastructure manager (VIM) and the VNF Manager (VNFM). In this paper, we examine the contents of these NFV MANO systematically and proposes a security system in a virtualized environment.

SDN-Based Middlebox Management Framework in Integrated Wired and Wireless Networks (유무선 통합망에서의 SDN 기반 미들박스 관리 프레임워크)

  • Lee, Giwon;Jang, Insun;Kim, Wontae;Joo, Sukjin;Kim, Myungsoo;Pack, Sangheon;Kang, Chul-Hee
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.39B no.6
    • /
    • pp.379-386
    • /
    • 2014
  • Recently, middleboxes play a key role in many network settings such as firewalls, VPN gateways, proxies, intrusion detection and prevention systems, and WAN optimizers. However, achieving the performance and security benefits that middleboxes offer is highly complex, and therefore it is essential to manage middleboxes efficiently and dynamically. In this respect, Software-Defined Networking (SDN) offers a promising solution for middlebox policy enforcement by using logically centralized management, decoupling the data and control planes, and providing the ability to programmatically configure forwarding rules. Also, cloud computing and distributed Network Function Virtualization (NFV) can enable to manage middleboxes more easily. We introduce SDN-based middlebox management framework in integrated wired and wireless networks and discuss the further issues.

A Dynamic Adjustment Method of Service Function Chain Resource Configuration

  • Han, Xiaoyang;Meng, Xiangru;Yu, Zhenhua;Zhai, Dong
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.15 no.8
    • /
    • pp.2783-2804
    • /
    • 2021
  • In the network function virtualization environment, dynamic changes in network traffic will lead to the dynamic changes of service function chain resource demand, which entails timely dynamic adjustment of service function chain resource configuration. At present, most researches solve this problem through virtual network function migration and link rerouting, and there exist some problems such as long service interruption time, excessive network operation cost and high penalty. This paper proposes a dynamic adjustment method of service function chain resource configuration for the dynamic changes of network traffic. First, a dynamic adjustment request of service function chain is generated according to the prediction of network traffic. Second, a dynamic adjustment strategy of service function chain resource configuration is determined according to substrate network resources. Finally, the resource configuration of a service function chain is pre-adjusted according to the dynamic adjustment strategy. Virtual network functions combination and virtual machine reusing are fully considered in this process. The experimental results show that this method can reduce the influence of service function chain resource configuration dynamic adjustment on quality of service, reduce network operation cost and improve the revenue of service providers.

Modified Deep Reinforcement Learning Agent for Dynamic Resource Placement in IoT Network Slicing

  • Ros, Seyha;Tam, Prohim;Kim, Seokhoon
    • Journal of Internet Computing and Services
    • /
    • v.23 no.5
    • /
    • pp.17-23
    • /
    • 2022
  • Network slicing is a promising paradigm and significant evolution for adjusting the heterogeneous services based on different requirements by placing dynamic virtual network functions (VNF) forwarding graph (VNFFG) and orchestrating service function chaining (SFC) based on criticalities of Quality of Service (QoS) classes. In system architecture, software-defined networks (SDN), network functions virtualization (NFV), and edge computing are used to provide resourceful data view, configurable virtual resources, and control interfaces for developing the modified deep reinforcement learning agent (MDRL-A). In this paper, task requests, tolerable delays, and required resources are differentiated for input state observations to identify the non-critical/critical classes, since each user equipment can execute different QoS application services. We design intelligent slicing for handing the cross-domain resource with MDRL-A in solving network problems and eliminating resource usage. The agent interacts with controllers and orchestrators to manage the flow rule installation and physical resource allocation in NFV infrastructure (NFVI) with the proposed formulation of completion time and criticality criteria. Simulation is conducted in SDN/NFV environment and capturing the QoS performances between conventional and MDRL-A approaches.

Virtual Network Mapping Algorithm for Minimizing Piecewise Linear Cost Function (Piecewise Linear 비용함수의 최소화를 위한 가상 네트워크 매핑 알고리즘)

  • Pyoung, Chan-kyu;Baek, Seung-jun
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.41 no.6
    • /
    • pp.672-677
    • /
    • 2016
  • Development of Internet has been successfully inspired with extensive deployment of the network technology and application. However, increases in Internet usage had caused a lot of traffic overload in these days. Thus, we need a continuous research and development on the network virtualization for effective resource allocation. In this paper, we propose a minimal cost virtual network mapping algorithm using Piecewise Linear Cost Function. We exploited an algorithm with Linear Programming and D-VINE for node mapping, and Shortest Path Algorithm based on linear programming solution is used for link mapping. In this way, we compared and analyzed the average cost for arrival rate of VN request with linear and tree structure. Simulation results show that the average cost of our algorithm shows better efficiency than ViNEyard.

Deep Neural Network-Based Critical Packet Inspection for Improving Traffic Steering in Software-Defined IoT

  • Tam, Prohim;Math, Sa;Kim, Seokhoon
    • Journal of Internet Computing and Services
    • /
    • v.22 no.6
    • /
    • pp.1-8
    • /
    • 2021
  • With the rapid growth of intelligent devices and communication technologies, 5G network environment has become more heterogeneous and complex in terms of service management and orchestration. 5G architecture requires supportive technologies to handle the existing challenges for improving the Quality of Service (QoS) and the Quality of Experience (QoE) performances. Among many challenges, traffic steering is one of the key elements which requires critically developing an optimal solution for smart guidance, control, and reliable system. Mobile edge computing (MEC), software-defined networking (SDN), network functions virtualization (NFV), and deep learning (DL) play essential roles to complementary develop a flexible computation and extensible flow rules management in this potential aspect. In this proposed system, an accurate flow recommendation, a centralized control, and a reliable distributed connectivity based on the inspection of packet condition are provided. With the system deployment, the packet is classified separately and recommended to request from the optimal destination with matched preferences and conditions. To evaluate the proposed scheme outperformance, a network simulator software was used to conduct and capture the end-to-end QoS performance metrics. SDN flow rules installation was experimented to illustrate the post control function corresponding to DL-based output. The intelligent steering for network communication traffic is cooperatively configured in SDN controller and NFV-orchestrator to lead a variety of beneficial factors for improving massive real-time Internet of Things (IoT) performance.

Separating VNF and Network Control for Hardware-Acceleration of SDN/NFV Architecture

  • Duan, Tong;Lan, Julong;Hu, Yuxiang;Sun, Penghao
    • ETRI Journal
    • /
    • v.39 no.4
    • /
    • pp.525-534
    • /
    • 2017
  • A hardware-acceleration architecture that separates virtual network functions (VNFs) and network control (called HSN) is proposed to solve the mismatch between the simple flow steering requirements and strong packet processing abilities of software-defined networking (SDN) forwarding elements (FEs) in SDN/network function virtualization (NFV) architecture, while improving the efficiency of NFV infrastructure and the performance of network-intensive functions. HSN makes full use of FEs and accelerates VNFs through two mechanisms: (1) separation of traffic steering and packet processing in the FEs; (2) separation of SDN and NFV control in the FEs. Our HSN prototype, built on NetFPGA-10G, demonstrates that the processing performance can be greatly improved with only a small modification of the traditional SDN/NFV architecture.

Market Trends of SDN/NFV Supply and Demand (SDN/NFV 공급 및 수요시장 동향)

  • Hong, M.D.;Young, A.J.
    • Electronics and Telecommunications Trends
    • /
    • v.31 no.2
    • /
    • pp.28-40
    • /
    • 2016
  • Software Defined Network(SDN)/Network Function Virtualization(NFV) 기술은 기존 하드웨어 기반의 경직된 네트워크의 구조를 소프트웨어, 가상화 기반의 유연한 네트워크 구조로 전환함으로써 미래의 다양한 융 복합 산업과 4차 산업혁명에 대응할 수 있는 네트워크 아키텍처 기술로 주목받고 있다. 현재 SDN/NFV기술이 네트워크 산업에서 주요 이슈가 되고, 이를 활용하여 성과가 소개되면서 네트워크장비 벤더들은 다양한 SDN/NFV 제품 및 솔루션을 출시하고 있다. 시장정체에 고심하던 통신사들도 SDN/NFV를 활용한 네트워크 인프라 전환을 모색하고 있다. 이에 본고는 주요 SDN/NFV 장비 벤더들의 동향과 SDN/NFV 도입사례를 살펴보고자 한다.

  • PDF