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“Group 0” Lei Zhang 3421970 Zhenyu Li 3429940 Peng Zhou 3429310 Xiaohang Yin 3434340 Mauricio Barreto 3358630 Nilram Azadpeyma 3371520 1 TELE 9752 – Network.

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Presentation on theme: "“Group 0” Lei Zhang 3421970 Zhenyu Li 3429940 Peng Zhou 3429310 Xiaohang Yin 3434340 Mauricio Barreto 3358630 Nilram Azadpeyma 3371520 1 TELE 9752 – Network."— Presentation transcript:

1 “Group 0” Lei Zhang 3421970 Zhenyu Li 3429940 Peng Zhou 3429310 Xiaohang Yin 3434340 Mauricio Barreto 3358630 Nilram Azadpeyma 3371520 1 TELE 9752 – Network Operations & Control Group Presentation Week 12 – S2, 2013

2  Introduction  Aims and Challenges - Why  Monitoring Metrics - What  In-network & Client-side Monitoring – How & Where  The ALICANTE Monitoring Approach  Conclusion and Our Opinion 2

3 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. IPTV: Delivery of multimedia content over IP-based networks 3

4 Integrated service & network management Real-time monitoring Monitoring must cover all layers in all system segments. Cross-layer monitoring is essential! network service content Traditional TV content service network IPTV To achieve comparable QoS/QoE IPTV needs: 4

5  Hierarchical structure A Super Head-endLocal Video Head-endsCore/Edge Networks Access Multiplexer Customer GatewayPresentation Devices Outage could be common Internet Access Platform Cellular Phone Network Short outage is not tolerable Television Service Service Assurance for IPTV Even Small Impairments should be detected and mitigated. Figure 1. Typical architecture of an IPTV network. [7] 5

6  Reactive Response of the monitoring system to an abnormal situation.  Proactive Behaviour of the monitoring system under normal operation. 6

7  Reactive (Fault Management) of service outage Detection Even packet losses on the order of 0.1% can cause perceptible distortions to video and audio. of problem Estimation Small losses or increased jitter can degrade the perceived quality. of the failure point Localization Impact of the problem depends on the point of failure. Failure in access multiplexer Vs. super head-end. of the impact Assessment Map this event to its actual impact on viewer perceived quality. 7

8  Proactive of failure/outage (P) Prevention Achieved by checking the resource utilization and the workload of the system components and identifying system bottlenecks. of SLA status Detection End-to-end monitoring data can be used. user behavior (P) Monitoring To perform long-term resource planning. Optimize system operations. monitoring with other components Integrate Complete picture of the status. 8

9 Vast number of involved devices  Huge volume of reports  Filter and process Scalability Service deliver ed may belong to differen t networ k operato rs. Willing to expose networ k monitor ing data? (Not really!) Monitoring Core, Edge & Access Networks Different management systems Interoperability 9

10  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 10

11  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 11

12  Performed at 3 points: Customer Network Gateway Decoder/STB Presentation Device 12

13 Figure. Architecture of the ALICANTE monitoring subsystem. [ 7 ] 13

14 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. 14

15 Four sets of cross-layer metrics are identified corresponding to different elements: Key feature: Decentralized Monitoring. MetricsSource Host MetricsContent Server & Home Box VCAN MetricsNetwork Session MetricsHome Box & User Terminals Application/ QoE MetricsUser Terminals 15

16  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. 16

17  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. 17

18 [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] Boula L, Gardikis G, Xilouris G, et al. Cross-layer Monitoring in IPTV Networks[J]. 18

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