1 © 2005 cisco systems, inc. all rights reserved. lior gendel apricot2006 service control...

1© 2005 Cisco Systems, Inc. All rights reserved.Lior GendelApricot2006

Service Control Technologies for P2P Traffic in next generation networks

Lior Gendel

[email protected]

Manager, Technical Marketing


• A brief history of P2PNapster, a bit too centralised for the lawyers!

Emerge of “self organising” systems

Gnutella and KaZaA

• The future of P2PEarly signs in “legal” content distribution

• The impact of P2P on the networkTraffic Load, Traffic Pattern

• What can we do today?Monitor

Optimize

Cache

Package and Up Sell

Introduction


P2P Platforms – Consumer

• Popularity of P2P clients depend on geography

• Many of the existing P2P sites provide content of all types

• Often these are ridden with spy / adware or viruses as the system is not ‘closed’

• Skype gets popularity for Voice, Video and Data

• Many (sites & users) are under close legal scrutiny

• Several sites have been specifically targeted by the authorities and closed

• End user experience is often very poor and content quality suspect


P2P Platforms – ‘Legal’

• BitTorrent is gaining respectability, but still under close scrutiny

• Most platforms do not have a focus on service providers

• Some ‘Legal’ platforms (Redswoosh / Kontiki) appear to be offering their software under license to distribute content. These are some entertainment focused solutions.

• Acceptance by content providers is limited

• Limited capabilities beyond just P2P platform i.e. Mobile, STB Client, Media Centre integration, VoIP etc

• No guarantee's on customer experience


Traffic Distribution Patterns

Network Usage by Traffic Type


P2P PlatformsInternet P2P Traffic

BitTorrenteDonkey2000FastTrackGnutellaSkypeWinnyShare

Internet P2P Traffic

BitTorrenteDonkey2000FastTrackGnutellaSkypeWinnyShare

Top Ten Digital Music Services

WinMX iTunesLimeWire Kazaa BearShare Ares Galaxy Napster Morpheus Real Player Store iMesh

Top Ten Digital Music Services

WinMX iTunesLimeWire Kazaa BearShare Ares Galaxy Napster Morpheus Real Player Store iMesh


What Do We Download?

Source: Leibowitz, N., Ripeanu, M., Wierzbicki, A. “Desconstructing the KaZaA network”

Images

Songs

Movies


• High IXC transit tolls

• Network congestion driven by high P2P traffic load during peak usage hours and access points

• Potential exposure to litigation

• How can SPs minimize these pains without noticeably worsening the user experience and low additional CapEx?

Highlight: Top 20 Subscribersconsume 60% of Bandwidth

Highlight: 91%-97% of the traffic is P2P

Service Provider Pain Points From P2P


P2P Traffic Patterns and Composition...• The popularity of P2P traffic is causing network capacity issues for

providers not only because of total amount of traffic, but also due to its unique nature (compared to ‘traditional applications’ – browsing, mail)

Parameter Traditional Apps

P2P Issue

Asymmetric Ratio Unidirectional (Browsing, Email)

Symmetrical – P2P uploads are mainly upstream. Downloads are downstream. Search is unidirectional

Networks are typically less provisioned on the upstream side – P2P causes upstream congestion

Activity Time When user is near PC.

Always on – P2P app downloads/uploads 24/7

Increases congestion at peak hours

Geography Mostly OnNET traffic (web-proxy, email-server) or a finite amount of content-sites

Geography indifferent – Users can download files from anywhere

Increase capacity on transit links – significant increase in transit cost


• Do Nothing Option

• Almost 80% of service providers today are considering some sort of proactive strategy to deal with the problem.

• Transit fees and performance becoming major issues, service providers recognize they cannot ignore this.

• Caching Solutions

• Demise of Inktomi is a clear indication of how successful caching is for this type of content. Bell Canada used to rely heavily on caches as little as two years ago, they have all since been removed from their network as not being worth the cost due to a lack of effectiveness.

• Larger service providers link P2P caching with copy protected content or content indices running inside equipment they own as a potentially serious legal liability that is not attractive.

• There are several vendors who provide caching equipment, but not big install base…

Unlikely P2P Traffic Management Methods


Likely P2P Traffic Management Methods

• Service Control

Conditionally Block P2P

By either outright blocking specific protocol ports or tracking the TCP sessions with content switches with intent to block P2P. Variations exist on this theme based on certain time of day, origin of GET request, etc.

Traffic Shaping: Both Symmetrical and Asymmetrical

Symmetrical = both directions, asymmetrical only subscribers initiating GETs from other ISPs inward.

Filter: Enforce Acceptable Fair Use Policy (AFU)

“Abusers” get notified that they either no longer qualify for residential package and get moved to higher price option and/or additional per MB charges over a certain traffic cap are applied.

• Redirect: Policy Optimize P2P to the Service Provider Network

Give the P2P network a dynamically learned understanding of the underlying Layer 3 network such we will always intentionally try to find the requested resource internally on the ISP first.


What Is “Service Control”?

Application Awareness

Subscriber Intelligence

Real-Time Control

Service Velocity

TechnologyTechnology

Programmability to Support New Applications and New Business Requirements

Stateful Deep-Packet Application Inspection

Application Session-Level Bandwidth Shaping, Blocking, Redirecting (HTTP, RSTP, SIP)

Subscriber State Management —Per-Subscriber BW Management, Quota and OSS Integration (via DHCP and RADIUS Integration)


Process of Service Control

• Intelligent Inspection & Control of IP packets

…Classify to end-user application

…Map to subscriber identity, policy & state

…Take action

• Focused on requirements of broadband service providersA

pp

lic

ati

on

blockblock

redirectredirect

Set QoSSet QoS

MarkMark

Su

bs

cri

be

r

Ru

les

& A

cti

on

s


Phases of a Service Control Deployment:

Usa

ge

An

aly

sis

• Objectives: Improve network experience and reduce operational expense

• Network topology: Active mode

• Objectives: Service creation, subscriber differentiation billing and value-added services

• Integrated into back office (AAA, billing, Policy-Server)S

ub

scr

iber

S

ervi

ce C

reat

ion

Portal

Policy

1

2

3

Deployment/Application Lifecycle

• Objectives: Monitor traffic distribution and usage patterns

• Network topology: Receive only

DHCP

AAA

Subs Profile

Glo

bal

Tra

ffic

O

pti

miz

ati

on


Service Control: Usage Analysis

• eDonkey and BitTorrent are Running in Background (Non-Interactive Service) and Need Some Control

• 66% of Active Subscribers Use P2P

• Skype Volumes Are Very Significant

Actual Customer

Data


Service Control: Peer to Peer Management

Improved Customer Experience and Network Costs

P2P

Web

Video

• Subscriber friendly P2P management policies

• Reduce congestion to improve end-user experience

• Savings on CAPEX, OPEX and Transit costs

• Savings on call-center and customer churn

Reduced Transit Costs

More BW for Interactive Apps =Improved Performance,

Reduced Support and Churn


Service Control Leverages Existing Network Investment

Transit-Capacity x Subscriber-Count

0

2000

4000

6000

8000

10000

12000

0 50 100 150 200 250 300 350 400 450 500

Subscriber Count (10K)

Tra

nsi

t C

apac

ity

Req

uir

emen

ts

(MB

)

Without P- Cube With P- Cube

Same transit capacity can accommodate more

subscribers, requiring fewer capacity increases as subscriber base grows


Summary

• P2P drives Broadband adoption – but needs to be managed intelligently

• P2P optimization results in immediate opex/capex savings

• Intelligent management of P2P traffic can actually improve customer satisfaction by providing a consistent service experience.

• Partnering with Legal P2P content providers allow additional ARPU

Service Control = Analyze, Control & Profit!Service Control = Analyze, Control & Profit!

1 © 2005 cisco systems, inc. all rights reserved. lior gendel apricot2006 service control...

Documents