MPC: Popularity-based Caching Strategy for Content Centric Networks
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1 MPC: Popularity-based Caching Strategy for Content Centric Networks César Bernardini Thomas Silverston Olivier Festor INRIA Nancy Université de Lorraine, France ICC June 11th, 2013
2 Schedule 1 Information Centric Networks Content Centric Networks 2 CCN Cache Management 3 MPC: Most Popular Content Caching strategy 4 Results 5 Conclusions & Future Work
3 3 Motivation Motivation Internet is mostly used to access content Forecast: 2016, 86% of global consumer traffic (CISCO VNI 12) Internet: host-to-host communication New Information Centric Networks Content Centric Networks PURSUIT NetInf
4 3 Motivation Motivation Internet is mostly used to access content Forecast: 2016, 86% of global consumer traffic (CISCO VNI 12) Internet: host-to-host communication New Information Centric Networks Content Centric Networks PURSUIT NetInf Users are interested in content, not its location
5 ICN: New Paradigm Host-to-Host Communication Host remain FIXED Path determined on the fly Find Host (DNS Resolution) Send TCP/IP request TCP/IP packets can not be reused Host-to-Content Communication Host and Content FIXED Content located at the Fly Ask for content ICN protocol found it Content can be reused/reemployed
6 ICN: New Paradigm Host-to-Host Communication Host remain FIXED Path determined on the fly Find Host (DNS Resolution) Send TCP/IP request TCP/IP packets can not be reused Host-to-Content Communication Host and Content FIXED Content located at the Fly Ask for content ICN protocol found it Content can be reused/reemployed Caching of Content becomes a central key of the Architecture
7 ICN: Content Centric Networks (CCN) Based on two primities Interest: user requests content issuing a named Interest Data: every user having the answer, issue a response Features Every node has in-caching network support Multicast, Encryption, Signatures features Strongly accepted by the Community
8 6 CCN: Caching 101 Host 1 wants /content/abc.flv Host 1 issues an interest message
9 7 CCN: Caching: HIT CCN Node has content /content/abc.flv in the cache CCN Node issues a Data message with the answer
10 8 CCN: Caching: MISS CCN Node has NOT content /content/abc.flv in the cache CCN Node retransmit the message to the rest of the network
11 CCN: Caching: EVICTION 9 /content/abc.flv content is found A Data message is received with /content/abc.flv CCN Node make room by evicting some content CCN Node sends the Data with /content/abc.flv Host 1 receives the content
12 10 CCN Cache Management Content Management Content Management is the master piece on ICN networks Replacement Policies LRU, FIFO, MFU, Rand, etc. Well-studied into OS, web-servers, etc. Caching Strategy Decide which content to cache Problem Design of CCN caching management policy MPC: Most Popular Content Caching Strategy
13 CCN Cache Management CCN Overview CCN in-network caching Overloading nodes and network ressources. Impact of traffic mix on caching performance in a content-centric network - Fricker et al. Cache Less for More in Information Centric Networks - Chai et al MPC: Most Popular Content Caching Strategy Cache only popular content Cache less and smartly
14 12 MPC: Most Popular Content How-To Count locally number of access counts for every content name Information stored in a Popularity Table Content requested >= Popularity Threshold = Popular Popular content is pro-actively cached 1-hop away
15 MPC: Case Study 13
16 MPC: Case Study 14
17 MPC: Case Study 15
18 Simulation ccnsim Scalable chunk-level simulator of CCN Support for Large Catalog (10 8 files) Support for large CCN Content Stores (10 6 chunks) Simulation Scenario ZIPf probability distribution for the popularity of content Several topologies Evaluated against common used strategies (LRU, RAND, FIFO)
19 Geant DTelecom Level3 Simulation: Topologies Tree Abilene Tiger
20 18 MPC: Results 1 CCN (LRU+Always) MPC Cache Hit Ratio Tree Abilene Tiger2 GeantDTelekomLevel3 Topologies
21 19 MPC: Results 1 Ratio of eviction operations 0.5 CCN (LRU+Always) MPC 0 Tree Abilene Tiger2 Geant DTelekom Level3 Topologies
22 20 Conclusions Conclusions MPC caches only popular content MPC improves Cache Hit Radio MPC reduces compsuption of ressources Future Work Organize content in communities Focus on social information
23 Questions Contact Information 21 bernardc
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