Download presentation
Presentation is loading. Please wait.
Published byRosalyn Christal Hodge Modified over 6 years ago
1
P4P: ISPs and P2P Laird Popkin, Pando Networks Doug Pasko, Verizon
2
The Fundamental Problem?
Traditional ISP feedback/controls to application traffic: Routing Rate control through congestion feedback (packet drops) These are ineffective for P2P Due to highly dynamic, scattered traffic pattern caused by dynamic, unguided (network-oblivious) peer selection Need a mechanism for ISPs to communicate with P2P about network structure and policies ISPs do not disclose their network information for various concerns P2P does not have sufficient information to determine network-aware peering relationships P2P can infer some network information; however, a lot of important information cannot be inferred
3
P4P: Partnership among ISPs and P2P Networks
The slides are based on our technical report Yale DCS/TR1377. This is a joint work with Arvind Krishnamurthy and Yang Richard Yang.
4
P4P Working Group Members
P4P Working Group: Co-Chaired by Pando and Verizon, based on research from Yale, hosted by Distributed Computing Industry Association. Core Group Observers AT&T BitTorrent Cisco Systems Grid Networks Joost LimeWire Manatt Abacast Cablevision CacheLogic Cox Communications Comcast MPAA NBC Universal Oversi PeerApp Time Warner Cable Turner Broadcasting Pando Networks RawFlow Telefonica Group VeriSign Verizon Washington University Yale University
5
Goals Design a framework to enable better ISP and P2P coordination
Guided P2P connections should yield benefits: Improve throughput to P2P users Allow ISPs to manage link utilization Reduces number of links transited by content Push traffic from undesirable (expensive/limited capacity) links to more desirable (inexpensive/available capacity) links The motivation for involving ISPs in this process : ISPs are best positioned with respect to gathering information regarding the state of the network and the needs of P2P systems. By letting ISPs make recommendations and letting the peer-to- peer systems use these as hints in their peering process, we hope to design a system that is efficient and incurs low operational costs
6
ISP Benefits Industry Solution
Create cooperative win-win solutions to an industry issue Solve the problem before we have to cope with the problem Carrier Grade P2P Opportunity for new services What if the fastest path from A to B is P2P?
7
P2P Benefits P2P Applications benefit from:
Faster downloads for users. Decrease incentives for ISPs to manage P2P traffic. Easy to implement Open standard, so one solution for all ISPs.
8
P4P Enables Efficient Delivery
Traditional CDN P2P P2P with P4P Internet Transit Regional Routers Edge Network More Viewers = Worse performance Higher cost More Viewers = Better performance Lower cost Network Aware P2P will reduce costs, improve performance
9
P4P Framework – Goals Performance improvement for both ISPs and P2Ps
Scalability Support a large number of P2P users and networks in dynamic settings Privacy preservation Flexibility: apply to many P2P architectures Application-specific requirements Tracker-based and trackerless P2P systems “Gossip” among peers Ease of implementation (“low hanging fruit”) Open standard: any ISP, P2P can easily implement it
10
P4P: Architecture 2 3 1 4 ISP A peer pTracker iTracker
Use BitTorrent in a single ISP as an example pTracker runs P2P system iTracker makes suggestions for peering relationships Information flow: peer queries pTracker pTracker asks iTracker for guidance (occasionally) iTracker returns high-level peering suggestions pTracker selects and returns a set of active peers, according to the suggestions iTracker can be run by trusted third parties, P2P network, or ISPs. pTracker iTracker 2 ISP A 3 1 4 peer
11
Optimizing P2P Peering Formulate as a joint optimization problem
ISPs’ objective: minimize network utilization by P2P P2Ps’ objective: maximize throughput Joint Objective: Protect and Improve customer experience
12
Evaluation – Simulations
Simulation Methodology Discrete-event simulation a module for modeling BitTorrent protocol a module for modeling underlying network topology and data transfer dynamics using TCP rate equation Network topology provided by AT&T, Telefonica, and Verizon.
13
Telefonica Simulation
Results: Good for ISPs Telefonica Simulation Verizon Simulation P4P yields a dramatic drop in data delivery average “hop count”, which equates to lower cost to ISPs.
14
Telefonica Simulation
Results: Good for P2Ps Telefonica Simulation Verizon Simulation P4P yields a dramatic improvement in data delivery speed, which results in faster downloads for users.
15
Interested? P4PWG is free to join.
Monthly phone calls CES, Tuesday at 8:00am) Working Group mission: Evaluate the P4P design through large-scale experiments Formalize and promote adoption of P4P protocols Serve as a forum for ISPs and P2P networks For more info, Marty Lafferty: or or
Similar presentations
© 2024 SlidePlayer.com. Inc.
All rights reserved.