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
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
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
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
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
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 :
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 :
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
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,,
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
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)
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
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
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
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
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
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
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