메타버스 서비스의 효율성 및 가용성 향상을 위한 지능적 네트워크 테스트 베드 설계 및 구현

다국어 초록 (Multilingual Abstract)

With the outbreak of COVID-19 and the increase of
non-face-to-face living environments due to the pandemic, the
demand for Metaverse and platform to service it and
non-face-to-face computing services increased. In response to
this demand, cloud computing and virtualization technologies
emerged as companies were interested in how to efficiently utilize
computing resources for provide smooth services. In addition, due to the spread of devices such as XR, VR, and AR that can
experience the virtual world of the metaverse service and the
spread of various mobile devices, a lot of data was generated in
the network and traffic increased. Network virtualization
technology was also highlighted as an overhead is generated due
to the information of many packets that need to be transmitted on
the network. Network virtualization technology is required as a
major technology in that it provides convenience to users by
virtualizing all resources with the advent of cloud computing and
future Internet technologies. In this paper, the concept and trend
of IT technology required for system configuration to provide
metaverse platform and non-face-to-face computing service are
investigated. In addition, we will implement a network test bed
simulation environment that can be intelligently controlled through
network virtualization, which has recently emerged as a major
technology. Therefore, it is intended to help in system
configuration that requires a system for providing high-quality
metaverse and non-face-to-face services and a stable network
for various and high-capacity data transmission.

목차 (Table of Contents)

• 제 1장 서론 ··········································································································· 1
• 1.1 연구의 배경 및 필요성 ········································································· 1
• 1.2 연구의 목적 및 구성 ············································································· 4
• 제 2장 이론적 배경 ····························································································· 6
• 2.1 메타버스 개념과 특징 ············································································· 6
• 2.2 메타버스 기술동향 ················································································· 10
• 2.3 메타버스 플랫폼과 서비스로써의 인프라(IaaS) ······························ 14
• 2.4 가상화 시스템의 네트워크 가상화 ····················································· 20
• 2.4.1 링크 가상화 ······················································································· 23
• 2.4.2 라우터 가상화 ··················································································· 26
• 2.4.3 SDN 및 NFV 기술동향 ·································································· 27
• 2.4.4 가상화 관련 기술 ············································································· 32
• 제 3장 연구방법 ································································································ 35
• 3.1 테스트 베드 구축 ··················································································· 35
• 3.2 지능적 제어를 위한 테스트 시스템 설계 ········································· 39
• 3.3 최적의 전송경로 제공 알고리즘 ························································· 55
• 3.4 실험 및 네트워크 전송속도 비교 ······················································· 63
• 제 4장 결론 및 향후 활용방안 ······································································ 71
• 4.1 연구의 시사점 ······················································································· 72
• 4.2 연구의 활용 방안 ················································································· 73
• 4.3 연구의 한계점 ························································································· 75
• 참고문헌 ············································································································· 76
• ABSTRACT ······································································································· 81