PERFORMANCE ANALYSIS OF VIDEO ON DEMAND AND VIDEO STREAMING ON THE NETWORK MPLS TRAFFIC ENGINEERING

被引:1
|
作者
Wahanani, Henni Endah [1 ]
Saputra, Wahyu S. J. [1 ]
Freitas, Elisio M. F. [1 ]
机构
[1] Univ Pembangunan Nas Vet Jawa Timur, Fac Comp Sci, Surabaya, Indonesia
来源
INTERNATIONAL JOURNAL OF GEOMATE | 2018年 / 15卷 / 50期
关键词
MPLS; TE; MPLS TE; Video Streaming; QoS;
D O I
10.21660/2018.50.IJCST33
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Video on Demand (VoD) and video streaming is a type of service used on multimedia networks through the internet (www) to make things easier users access the broadcast that is life. This requires a reliable network for the video to be displayed get maximum results, where this research implemented using MPLS-TE (Multi-Protocol Label Switching-Traffic Engineering). The key feature of MPLS is its TE, which plays a vital role in minimizing the congestion by efficient load balancing and management of the network resources. Due to lower network delay, efficient forwarding mechanism, enhancing the speed of packet transfer, scalability and predictable performance of the services provided by MPLS technology makes it more suitable for implementing real-time applications such as VoIP and video streaming. This paper evaluated the performance measures such as transfer time, delay, throughput using OSPF as routing protocol and tunneling to determine the inside path the process of different types of traffic (video on demand, video streaming) in their movement in a network MPLS-TE. Test results from Quality of Service (QoS) analysis taken minimum delay value in the reference journal MPLS-VPN which reached 9.0 while the maximum value in MPLS-TE obtained on the analysis that is with the value 0.015.
引用
收藏
页码:141 / 148
页数:8
相关论文
共 50 条
  • [41] EPIQ VIDEO STREAMING: PACKET DESIGN AND PERFORMANCE ANALYSIS
    Al-Qassab, Hothaifa
    Radha, Hayder
    2016 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2016, : 2102 - 2106
  • [42] Progressive Streaming of Video Data for Traffic Surveillance
    Shivprasad P. Patil
    Rajarshi Sanyal
    Ramjee Prasad
    Wireless Personal Communications, 2018, 100 : 283 - 309
  • [43] Continually traffic accommodating Internet streaming video
    Chung, YJ
    Song, HJ
    Kuo, TY
    Kim, JW
    Kuo, CCJ
    1998 IEEE SECOND WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING, 1998, : 403 - 408
  • [44] Building Reproducible Video Streaming Traffic Generators
    Ardi, Calvin
    Hussain, Alefiya
    Schwab, Stephen
    PROCEEDINGS OF 14TH WORKSHOP ON CYBER SECURITY EXPERIMENTATION AND TEST (CSET 2021), 2021, : 91 - 95
  • [45] Cooperative traffic management for video streaming overlays
    Pussep, Konstantin
    Lehrieder, Frank
    Gross, Christian
    Oechsner, Simon
    Guenther, Markus
    Meyer, Sebastian
    COMPUTER NETWORKS, 2012, 56 (03) : 1118 - 1130
  • [46] Progressive Streaming of Video Data for Traffic Surveillance
    Patil, Shivprasad P.
    Sanyal, Rajarshi
    Prasad, Ramjee
    WIRELESS PERSONAL COMMUNICATIONS, 2018, 100 (02) : 283 - 309
  • [47] Performance Analysis of Video Streaming at the Edge and Core Cloud
    Sarker, Samiul Ali
    Rahman, Masudur
    Muslim, Nasif
    Islam, Salekul
    PROCEEDINGS OF 2018 5TH INTERNATIONAL CONFERENCE ON NETWORKING, SYSTEMS AND SECURITY (NSYSS), 2018, : 113 - 119
  • [48] Video Streaming Analytics for Traffic Monitoring Systems
    Amin, Muhammad Arslan
    Hanif, Muhammad Kashif
    Sarwar, Muhammad Umer
    Sarwar, Muhammad Kamran
    Kanwal, Ayesha
    Azeem, Muhammad
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2018, 9 (11) : 651 - 654
  • [49] A video streaming application for urban traffic management
    Esteve, M.
    Palau, C. E.
    Martinez-Nohales, J.
    Molina, B.
    JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2007, 30 (02) : 479 - 498
  • [50] Performance Bound Analysis for Crowdsourced Mobile Video Streaming
    Gao, Lin
    Tang, Ming
    Pang, Haitian
    Huang, Jianwei
    Sun, Lifeng
    2016 ANNUAL CONFERENCE ON INFORMATION SCIENCE AND SYSTEMS (CISS), 2016,