socializing swarmtella: building social community networks ... filemicro, community networks the...
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"Socializing SwarmTella: building social community networks
for content distribution“
Carmen [email protected] Carlos III Madrid
Benchmarking of Future Content DistributionExploring the Limits of Selforganization?
Schloss Dagstuhl26-29 August 2008
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This talk is about “towards social aware content distribution networks”
content distribution networks”
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the vast majority of network content is
pull/interest -based
pull/interest -based
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economics* argues for making
the “long tail” of content available
at low transaction/network costs
at low transaction/network costs
to large numbers of small groups of only the most interested recipients.
* Anderson, C. The Long Tail: How Endless Choice Is Creating Unlimited Demand. Random House, New York, 2006.
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the Internet is already dominated by swarms of network-coded content
no longer e2e approach
emanating from multiple sources
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Micro, community networks the dynamics of social networks
Macro, economics of swarmshow to incentivize ISPs, content providers, users
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Micro, community networks the dynamics of social networks
The Web SiteNewman and GirvanFinding and evaluating community structure in networksPhysical Review E 69, 026113 (2004).
Sexual contactsNewmanThe structure and function of complex networksSIAM Review 45, 167-256 (2003).
Interdisciplinary collaborationsGirvan and NewmanCommunity structure in social and biological networksProc. Natl. Acad. Sci. USA 99, 8271-8276 (2002).
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The dynamic of networks
� Networks -> Topology + Function
� Topology (Physics, “scale free”, “smallworlds”…)
� Availability of large scale data -> topology
� Can we learn function from topology ?
� Can we learn function from topology ?� Still missing -> connection between
topology and function
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Community Networks
� Many networks of interest in the sciences(social and biological networks) are foundto divide naturally into communities ormodules
� The problem of detecting and
characterizing this community structure!
� Practical application� Content distribution in DTN
� Exploiting social interaction in mobile systems
� Optimizing social aware overlays
� Next steps in CDN: metadata,pub/sub/interests.
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Socializing SwarmTella
� CONTENT NoE Joint Research: UC3M and TUD
� Distributed mechanism for buildingcommunities based on end-users commoninterests on content
� Next steps: � Building communities based on a mobile
scenario
� Extending the interest on content to theinterest on a service/node/resource
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Micro, community networks the dynamics of social networks
Macro, economics of swarmshow to incentivize ISPs, content providers, users
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Macro, economics of swarmshow to incentivize ISPs, content providers, users
INTERNET
� Filtering out P2P traffic� But P2P increases
access demands (€€)
� Add caches� Enrich connectivity
� Peering between access ISPs
Transit ISP Transit ISP
Access ISP Access ISPAccess ISP
€€€€ €€ €€
access ISPs� Difficulties on
dimension networks and TE
� P2P is about cost shifting
� New techniques for peer selection� Network-aided peer
selection
� Prioritize local peers
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Conclusions
� Exploiting the mobility and dynamis of social networks for optimizing the functionof content distribution
� Micro perspective , building social
� Micro perspective , building social community networks
� Macro perspective, taming the torrent, p4p, ietf/alto/tana