Emulation of Open Content Aware Networks on the ilab.t Virtual Wall. Steven Latre Jeroen Famaey Wim Van de Meerssche Tim Wauters Filip De Turck

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1 Emulation of Open Content Aware Networks on the ilab.t Virtual Wall Steven Latre Jeroen Famaey Wim Van de Meerssche Tim Wauters Filip De Turck

2 More than 50% of traffic is video Cisco Visual Networking Index

3 Content Delivery Networks enable a scalable video delivery A network of CDN servers improve network utilisation and scalability Access & Aggregation Network OCEAN Project Core Network Traditional CDNs

utilisation and scalability Access & Aggregation

4 OCEAN Consortium France Telecom (Coordinator) France Telco Alcatel-Lucent Belgium Industry iminds Belgium Research institute Idate France Market Intelligence, SME N2NSoft (Inria spin-off) France Research SME PriSM (Univ. Versailles) France University Fraunhofer HHI Germany Research Institute Telekomunikacja Polska Poland Telco and CDN service provider European Broadcasting Union (EBU ) Switzerland Content Providers Slide 4

5 Open Content Aware Networks (OCEAN) Content Distribution Networks (CDN) Current state-of-the-art (e.g. Akamai) Optimizes CDN middle mile, but best effort for CDN last mile Unaware of underlying network characteristics Closed systems with proprietary interfaces FP7 Ocean addresses all these issues FP7 CDN Last Mile CDN Middle Mile CDN First Mile 5

Akamai) Optimizes CDN middle mile, but best effort for CDN last mile Unaware of

6 OCEAN Overview Admission control & video quality adaptation Cache replacement strategies CDN interconnection Congestion control between caches and user Open Interface between all caches CDN cache Origin Content Servers Access and Backhaul Networks Regional and National Network Third parties Networks and International Networks Transit link HTTP Adaptive Streaming clients Techno-economic studies SVC- vs. AVCbased video delivery

Origin Content Servers Access and Backhaul Networks Regional and National Network Third parties Networks

7 From simulation, to emulation to field trial OCEAN s evaluation approach

8 OCEAN s evaluation timeline Simulation Emulation Field trial MIN MLRU OP LFU AVC LRU PCN CC PP LFU MLRU AVC SVC LRU CC AVC LRU SVC SVC Fast but reduced realism Many simulation platforms Slower with more realism iminds Virtual Wall Public Internet TP s Planet Lab

SVC Fast but reduced realism Many simulation platforms Slower

9 Experimental setup & software used OCEAN emulations

10 Emulation on the iminds Virtual Wall 10

11 Emulated network topology the clients of a dslam are emulated by a single physical node client dslam client HTTP proxy HTTP server bandwidth limit per emulated client dslam configurable RTT and bandwidth per link using click traffic shaper nodes

server bandwidth limit per emulated client dslam configurable

12 Monitoring components client bandwidth probe: monitors bit-rate of HTTP stream towards clients bandwidth probe: monitors bit-rate of HTTP streams towards proxy dslam client HTTP proxy HTTP server dslam access.log: shows cache hits and misses of the proxy access.log: shows requested movie chunks and qualities

towards proxy dslam client HTTP proxy HTTP server dslam access.

13 Software: AVC-based delivery MS SmoothStreaming client emulator client SQUID proxy with mlru and CC caching support dslam client HTTP proxy HTTP server dslam Microsoft IIS 7.5 with Media Services 4

14 Software: SVC-based delivery VLC client with SVC support client SQUID proxy with mlru and CC caching support dslam client HTTP proxy HTTP server dslam Apache httpd server

15 Experimental setup & performance evaluation Results & lessons learned

16 More realistic performance evaluation Actual software implementations (MS Smooth Streaming, VLC, etc.) Production traces from VoD service Number of requests Day

17 More realistic performance evaluation

18 Integrated evaluation of solutions Simulation Caching without HTTP Adaptive Streaming Emulation Caching with HTTP Adaptive Streaming Cache&hitrate& 0.9$ 0.85$ 0.8$ 0.75$ 0.7$ 0.65$ 0.6$ 0.55$ LRU$ mlru$ 0.5$ 0$ 200$ 400$ 600$ 800$ 1000$ 1200$ Cache&size&(GiB)&

Streaming Cache&hitrate& 0.9$ 0.85$ 0.8$ 0.75$ 0.7$ 0.65$ 0.6$ 0.

19 Prototype testing for field trial Characterization of proxy CPU when serving 60+ simultaneous clients

20 Conclusions iminds Virtual Wall facility used for evaluations Emulation advantages Prototype testing for field trial More realistic performance evaluation Integrated evaluation of OCEAN solutions OCEAN s next evaluation steps Finalization of emulation Field trial

realistic performance evaluation Integrated evaluation of OCEAN

21 Questions?

high-quality steaming over the Internet

Content Delivery Networks & high-quality steaming over the Internet 27 th october 2011 2009 Level 3 Communications, LLC. All Rights Reserved. Level 3 Communications, Level 3, the red 3D brackets, the (3)