“Group 0” Lei Zhang 3421970 Zhenyu Li 3429940 Peng Zhou 3429310 Xiaohang Yin 3434340 Mauricio...

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Transcript of “Group 0” Lei Zhang 3421970 Zhenyu Li 3429940 Peng Zhou 3429310 Xiaohang Yin 3434340 Mauricio...

CROSS-LAYER MONITORING IN IPTV

NETWORKS“Group 0”

Lei Zhang 3421970

Zhenyu Li 3429940

Peng Zhou 3429310

Xiaohang Yin 3434340

Mauricio Barreto 3358630

Nilram Azadpeyma 3371520

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TELE 9752 – Network Operations & Control Group Presentation

Week 12 – S2, 2013

OUTLINE

Introduction Aims and Challenges - Why Monitoring Metrics - What In-network & Client-side Monitoring – How &

Where The ALICANTE Monitoring Approach Conclusion and Our Opinion

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INTRODUCTION

with guaranteed quality of service – paid service.

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2009 2013

revenuebi l l i on

• 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

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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

INTRODUCTION

To achieve comparable QoS/QoE IPTV needs:

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AIMS Hierarchical structure

•A Super Head-end

•Local Video Head-ends

•Core/Edge Networks

•Access Multiplexer

•Customer Gateway

•Presentation 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]

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REQUIRED FUNCTIONALITIES OF AN IPTV MONITORING SYSTEM

ReactiveResponse of the monitoring system to an

abnormal situation.

ProactiveBehaviour of the monitoring system under

normal operation.

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FUNCTIONS OF MONITORING Reactive (Fault Management)

of service outageDetection • Even packet losses on the order of 0.1% can cause

perceptible distortions to video and audio.

of problemEstimation • Small losses or increased jitter can degrade the perceived

quality.

of the failure pointLocalization • Impact of the problem depends on the point of failure.• Failure in access multiplexer Vs. super head-end.

of the impactAssessment

• Map this event to its actual impact on viewer perceived quality. 7

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 statusDetection

• End-to-end monitoring data can be used.

user behavior (P) Monitoring

• To perform long-term resource planning.• Optimize system operations.

monitoring with other componentsIntegrate• Complete picture of the status.

FUNCTIONS OF MONITORING

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CHALLENGES•Vas

t number of involved devices Huge volume of reports Filter and process

Scalability

•Service delivered may belong to different network operators. Willing to expose network monitoring data? (Not really!)

Monitoring Core, Edge & Access

Networks

•Different management systems

Interoperability

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MONITORING METRICS

Cross-layer Monitoring Parameters monitored in IPTV network:

User/QoE MetricsUser Perception

Application MetricsDuring Decoding and Presentation

Transport/Network MetricsPerformance of the Corresponding Protocols

Other:Protocol-Specific Metrics

FECUser Behavior Metrics

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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

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CLIENT-SIDE MONITORING Performed at 3 points:

Customer Network Gateway

Decoder/STB

Presentation Device

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ALICANTE MONITORING

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

QoS & QoE of 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.

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Four sets of cross-layer metrics are identified corresponding to different elements:

Key feature: Decentralized Monitoring.

ALICANTE MONITORING

Metrics Source

Host Metrics Content Server & Home Box

VCAN Metrics Network

Session Metrics Home Box & User Terminals

Application/ QoE Metrics User Terminals

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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.

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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.

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

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