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Multimedia content growth: From IP networks to Medianets. Cisco-IEEE ComSoc Webinar. Sept. 23, 2009 Presented by: Alexandre Gerber AT&T Labs. Application Growth Landscape changed over the last 2 years. Multimedia annual growth rate per DSL sub: 58%.
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Multimedia content growth:From IP networks to Medianets Cisco-IEEE ComSoc Webinar. Sept. 23, 2009 Presented by: Alexandre Gerber AT&T Labs
Application GrowthLandscape changed over the last 2 years Multimedia annual growth rate per DSL sub: 58% Multimedia #1 app for DSL during busy hour (40%) . A key driver of smartphones too.
Medianet challenges • Demand Growth: • How will networks evolve to handle the explosive growth in digital content? • IPTV/VoD vs. OTT content distribution path will impact solution • Robustness and Operational Complexity: • How to move from Network Management to Application Aware Network Management? • How to reconcile network performance and end user experience? • Creating a seamless end user experience: • Video anywhere, anytime (TV/Internet/Wireless) Let’s focus on one of these questions: How will networks evolve to handle the explosive growth in multimedia content?
Dealing with Multimedia Content Growth: Three Observations • Users don’t care where the server is • Expect the return of hierarchical caching • Expect joint optimization of network and application layer: • E.g. Anycast CDN • Same observation driving Cloud Computing • Video viewing will increasingly be “on demand” • Expect “switched video” delivery rather than broadcast • Expect solutions that exploit multiple delivery techniques at network and application layer • Opportunities for any solution that helps users manage information • What can the network do to support information dissemination and retrieval?
Dealing with growth of contentOptimizing Content Distribution! Current P2P protocols are not efficient today: Air Miles 25% longer than HTTP CDNs are today 2 to 3 times more efficient than P2P Distance traversed on network New capital-efficient delivery solutions will be critical for cost-effective handling of the fast growing media traffic => Understand characteristics of content and improve distribution: Network aware P2P, multicast, anycast, caching, etc.
Exploiting Multiple Delivery Mechanisms • Unicast of requested content works well in certain situations • Low demand, sufficient resources • Requests for rare content • Unicast can provide quick response to user request • Can adapt quality to individual user’s bandwidth availability • Multicast to large number of consumers can be very resource-efficient • Works well for popular content, especially with bursty and/or live requests • Inefficient for less popular content, requests spread out over time • Peer-to-peer between user devices • Works well for download & view, without tight start-up latency • Good if upload bandwidth from user is large • All of these mechanisms should be able to work cooperatively to achieve content distribution in an efficient and scalable manner
The Next Generation Network as an Information AggregatorMultimedia content distribution: going one step further! • Users want information of interest to them • Publishers want to distribute information to interested parties • What can the network do to help? • Tell the network to deliver “information” of interest (pub/sub) • Ask the network to find “information” of interest (query) • Ask the network what “information” I might be interested in (recommendation) • Manage micropayments, advertising, etc. • Challenges • Scale: large number of producers and consumers • Coverage: distributed, rather than “centralized” search engine • Timeliness: users want some information NOW • Opportunity for new overlay network for content routing. Network can become that key Information Aggregator!
Application Aware Network ManagementAlways an after thought… • Medianet requires ISPs to move from Network Management to Application Aware Network Management. • What does it mean? • The bottom line is the end user experience • Need to convert network metrics into application performance • Networks need to provide these metrics • Need to isolate application performance issues • Identify relevant information in the ocean of network measurements • End to end approach from the servers to the network to the end device (e.g. STB)
Conclusion • Multimedia Content growth is driving network evolution • Content hybrid delivery solutions will take advantage of information across layer boundaries • Network-aware applications • Application-aware networks • The network will have the opportunity to become the information aggregator • Scalable solution to the problem of “who to tell” and “who to ask” • Medianets should not forget MediaNetworkManagement!
XML Overlay Network XML router Data query generation Subscriber for alerts IP Network Infrastructure Database Subscriber for information Publisher XML Routing Overlay • Publishers and Subscribers submit Content Descriptors (CD’s) to the network • CD is mapped into single hash-id at first overlay router • Network builds a fine grained Core-based distribution tree (CBT) for each ”CD”
rss channel editor item description title link abc Jupiter reuters.com ReutersNews Content Descriptors • Content Descriptors (CDs) act like “indexes” in a distributed data base environment • CD can be a topic hierarchy; multiple hierarchies may be supported (e.g., topics, geographic location) • International > Business > Oil • News > U.S. > Politics • An XML schema path (root-to-leaf path) may also be used as basis of hierarchically structured domain for constructing CDs <rss> <channel> <editor> Jupiter </editor> <item> <title> ReutersNews </title> <link> reuters.com </link> </item> <description> abc </description> </channel> </rss>