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“Group 0” Lei Zhang 3421970 Zhenyu Li 3429940 Peng Zhou 3429310 Xiaohang Yin 3434340 Mauricio Barreto 3358630 Nilram Azadpeyma 3371520. Cross-layer Monitoring in IPTV Network S. TELE 9752 – Network Operations & Control Group Presentation Week 12 – S2, 2013. OUTLINE.

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cross layer monitoring in iptv network s

“Group 0”

Lei Zhang 3421970

Zhenyu Li 3429940

Peng Zhou 3429310

Xiaohang Yin 3434340

Mauricio Barreto3358630

NilramAzadpeyma 3371520

Cross-layer Monitoring in IPTV NetworkS

TELE 9752 – Network Operations & Control Group Presentation

Week 12 – S2, 2013

outline
OUTLINE
  • Introduction
  • Aims and Challenges - Why
  • Monitoring Metrics - What
  • In-network & Client-side Monitoring – How & Where
  • The ALICANTE Monitoring Approach
  • Conclusion and Our Opinion
introduction
introduction

IPTV: Delivery of multimedia content over IP-based networks

with guaranteed quality of service – paid service.

  • Why IPTV business is so attractive?
  • IPTV must compete with traditional TV delivery systems.
  • Very high reliability and QoS/QoE.
introduction1
Introduction

content

content

service

service

network

network

IPTV

Traditional TV

To achieve comparable QoS/QoE IPTV needs:

Integrated service &

network management

Real-time monitoring

  • Monitoring must cover all layers in all system segments.
  • Cross-layer monitoring is essential!
slide5
aims

Even Small Impairments should be detected and mitigated.

  • Hierarchical structure

Figure 1. Typical architecture of an IPTV network. [7]

Service Assurance for IPTV

required functionalities of an iptv monitoring system
Required Functionalities of an IPTV Monitoring System
  • Reactive
    • Response of the monitoring system to an abnormal situation.
  • Proactive
    • Behaviour of the monitoring system under normal operation.
functions of monitoring
Functions of monitoring
  • Reactive (Fault Management)
monitoring metrics
Monitoring metrics
  • Cross-layer Monitoring
  • Parameters monitored in IPTV network:
    • User/QoE Metrics
        • User Perception
    • Application Metrics
        • During Decoding and Presentation
    • Transport/Network Metrics
        • Performance of the Corresponding Protocols
    • Other:
        • Protocol-Specific Metrics
            • FEC
        • User Behavior Metrics
in network monitoring
In-network monitoring
  • Within the Distribution Network, Core, Edge, and Access.
  • Needs to be distinguished from overall network monitoring.
  • Mainly collects:
    • Transport/Network Metrics e.g. Packet Loss and Jitter
  • Packet filtering and sampling is often used due to huge traces.
  • Retrieval of measured metrics:
    • SNMP, IPFIX(Avoid overhead of SNMP/syslog)
    • Modern Routers and Switches
  • Higher-Layer Metrics
    • Application/Stream
    • Probe Modules
      • Number of Probes: Detection of Issue Vs. Cost and Complexity
      • Active Monitoring  Imposed Load /Traffic on the Network
client side monitoring
Client-side monitoring
  • Performed at 3 points:
slide13

alicante monitoring

Figure.Architecture of the ALICANTE monitoring subsystem.[7]

q o s q o e of the alicante
QoS & Qoeof the alicante

Maximization of QoS and QoE of media services is achieved.

  • a) via dynamic adaptation of media streams, taking place in the network and also at the edges.
  • b) via content-aware mechanisms in the network, performing automatic service recognition and differentiation.
slide15

alicante monitoring

  • Four sets of cross-layer metrics are identified corresponding to different elements:
  • Key feature: Decentralized Monitoring.
conclusions
conclusions
  • Thorough monitoring can only be achieved through cross-layer monitoring.
  • All domains involved in IPTV service provisioning must be monitored.
  • The Alicante monitoring approach is a practical implementation of the principles of end to end service monitoring.
  • Decentralized monitoring allows adaptive management and promotes collaboration among actors and across domains.
our own opinions
our own opinions
  • Lack of experimental support for ideas presented in paper. The paper is more an opinion piece than a research paper.
  • Conclusions should include: Use of virtual networks allows data to be shared without exposing commercially sensitive information.
references
referenceS

[1] “IPTV Global Forecast — 2009 to 2013, Semiannual IPTV Global Forecast Report,” Nov. 2009, MRG Group Inc.

[2] ITU-T Rec. G.1081, “Performance Monitoring Points for IPTV,” Oct. 2008.

[3] L. Boula, H. Koumaras, and A. Kourtis, “An Enhanced IMS Architecture Featuring Cross-Layer Monitoring and Adaptation Mechanisms,” ICAS ’09), Valencia, Spain, Apr. 20–25, 2009.

[4] ITU-T Rec. G.1080, “Quality of Experience Requirements for IPTV Services,” Dec. 2008.

[5] ITU-T Rec. J.241, “Quality of Service Ranking and Mea- surement Methods for Digital Video Services Delivered over Broadband IP Networks,” Apr. 2005.

[6] ETSI TR 101 290 V1.2.1, “Digital Video Broadcasting (DVB); Measurement Guidelines for DVB Systems,” tech. rep., May 2001.

[7] BoulaL, Gardikis G, Xilouris G, et al. Cross-layer Monitoring in IPTV Networks[J].

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