1. p.1Service Control Technologies for Peer-to-peer Traffic in Next Generation Networks Part2: An Approach of Passive Peer based Caching to Mitigate P2P Inter-domain Traffic

2. p.2Service Control Technologies for Peer-to-peer Traffic in Next Generation Networks Motivation Widespread of P2P file sharing applications –Traffic Increase: more serious in inter-domain links P2P Traffic –Undesirable characteristics compared with Web traffic Transmission data size is huge No traffic centralized point, e.g. servers in a data center, because communications will occur among peers at any locations –Most of such huge data transmissions become inter- domain traffic P2P traffic volume is a critical issue for ISPs –Analyze P2P traffic impact on inter-domain traffic –Control P2P traffic on inter-domain links

3. p.3Service Control Technologies for Peer-to-peer Traffic in Next Generation Networks Related Works P2P Traffic control –Filtering / limiting P2P traffic How do we identify P2P connections? –Deep packet inspection is very powerful but … –How deep is an ISP allowed to inspect the packets? –Introducing asymmetry along physical network topology Network-aware clustering / Cache servers Some application’s protocol is closed  More general control methods should be considered P2P Traffic model –Mainly focusing on the scalability of overlay network Number of hops and search messages on overlay networks  We need a model with physical network viewpoint

4. p.4Service Control Technologies for Peer-to-peer Traffic in Next Generation Networks Our Research Analysis of inter-domain traffic –Considering pure P2P file sharing applications –Modeling inter-domain traffic amount Influence of additional passive peer P2P traffic control using passive peer –Resource cache equivalent function on P2P network with closed protocol

5. p.5Service Control Technologies for Peer-to-peer Traffic in Next Generation Networks Traffic Flow Model : Terminology My Domain / Other Domains –Set(s) of peers in the same administrative scope (e.g., ISP) –My Domain : A domain of interest –Other Domains : Others Passive peer –A native peer for corresponding P2P applications without any change no active operations (resource creation / resource request) –Added to My domain We analyzed the influence of a passive peer addition

6. p.6Service Control Technologies for Peer-to-peer Traffic in Next Generation Networks Traffic Flow Model : Traffic Traffic Flow Model –Modeling traffic incoming to / outgoing from passive peer –Four kinds of traffic ‘out’ / ‘in’ : outgoing / incoming ‘m’ / ‘o’ : My Domain / Other Domains Inter-domain Traffic :

7. p.7Service Control Technologies for Peer-to-peer Traffic in Next Generation Networks Traffic Flow Model : Selection Probability (1/2) Selection Probability –Probability that a peer selects destination peers in My Domain –We assume :

8. p.8Service Control Technologies for Peer-to-peer Traffic in Next Generation Networks Traffic Flow Model : Selection Probability (2/2) What does this equation mean ? –Destination selection is regarded as random selection on a domain level scale

9. p.9Service Control Technologies for Peer-to-peer Traffic in Next Generation Networks Traffic Flow Model : Without Passive Peer If the passive peer were not added – : disappeared – : transferred to alternative peers –Alternative peers are selected according to the selection probability p,,

10. p.10Service Control Technologies for Peer-to-peer Traffic in Next Generation Networks Traffic Flow Model : Traffic Amount Change Inter-domain Traffic : Ratio: r = –Traffic amount change caused by the passive peer with passive peer without passive peer

11. p.11Service Control Technologies for Peer-to-peer Traffic in Next Generation Networks Traffic Flow Model : Analyze Area of decreasing inter-domain traffic by passive peer –If p < 1/2, –additional peer rather increases inter-domain traffic r < 1 (decrease) r > 1 (increase)

12. p.12Service Control Technologies for Peer-to-peer Traffic in Next Generation Networks Proposal To decrease inter-domain traffic without change p,q –To decrease r less than 1.0 –r = Method : Filtering

13. p.13Service Control Technologies for Peer-to-peer Traffic in Next Generation Networks Proposal Method : Analyze Effective areas for several filter ratio:δ –The smaller δ is, the less the inter-domain traffic becomes –The smaller δ enlarges the effective area

14. p.14Service Control Technologies for Peer-to-peer Traffic in Next Generation Networks Discussion Validity of traffic flow model –Is destination selection really random even on a domain level scale? Effectiveness of proposed method –Can this method decreases inter-domain traffic ? Measurement of real P2P network traffic –In order to discuss the above two topics

15. p.15Service Control Technologies for Peer-to-peer Traffic in Next Generation Networks Discussion : Simulation Analysis Selection Probability : p –Simulation with 200,000 peers’ behavior Selection Probability gradually converges –Common p value can be applied to both incoming and outgoing communications

16. p.16Service Control Technologies for Peer-to-peer Traffic in Next Generation Networks Discussion : Experimental Analysis Selection Probability : p –Calculated from incoming and outgoing traffic Selection Probability gradually converges

17. p.17Service Control Technologies for Peer-to-peer Traffic in Next Generation Networks Discussion : Cache Effectiveness Ratio of inter-domain traffic change by passive peer –become less than 1 after 12th day Successfully decreases inter-domain traffic

18. p.18Service Control Technologies for Peer-to-peer Traffic in Next Generation Networks Conclusion We discuss a novel traffic model of P2P file sharing Application –To grasp inter-domain P2P traffic trend –Passive peer concepts –Selection Probability Analyze an impact of P2P traffic on inter- domain traffic –Passive peer rather increases inter-domain traffic in the case of p<1 Propose P2P traffic control method –decrease inter-domain traffic even in the case of p<1