CFP Broadband Working Group: Broadband Usage Cost Recovery



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Transcription:

CFP Broadband Working Group: Broadband Usage Cost Recovery Sharon E. Gillett, MIT John Watlington, France Telecom January 2005

Residential Broadband Usage Cost Recovery A Problem Statement presented as a short White Paper The Problem Statement: States assumptions which lead us to believe there is a critical problem Lists commonly proposed solutions, and begins to address their impact on the virtuous cycle Growing use of Internet applications & services drives demand for enhanced broadband access networks Investments in broadband access networks support innovation in applications & services

Assumption: Innovation is Good Innovation is fostered by improvements in residential broadband access Peer to Peer filesharing BitTorrent Personal publishing (blogging, photo sharing, video sharing) The problem is that current pricing and business models may supress innovation If Access providers don t profit from improvements in broadband access, they have little incentive to upgrade Flat-rate pricing provides operators with an incentive to minimize usage Residential Broadband Cost Recovery is a problem for the entire industry, not just the access providers

Assumption: Services are Interchangeable Access providers face competition for most services they provide, including basic transport Few services offered by providers cannot be interchanged with those available from third parties Few services are core, or integrally tied to the broadband access service IP number assignment, Routing, and QoS are still core services Examples of interchangeable services: Telephony services provided through VoIP Domain Name Service provided through Dynamic DNS Content purchase and download Prices not aligned with services used by a user may drive user to competitor

Assumption: The Average User? As the access bandwidths increase, it is more difficult to identify an average user New applications enabled by increased access bandwidth appear Greater difference between average and high-use users The customer as an aggregator: multiple users and applications sharing a connection Technology-based constraints on usage are vanishing High-use users limited by peak rate of access The difference between the peak rate and the average rate is increasing rapidly Pricing based on average usage becomes difficult to sustain # users Bits/month

Assumption: Different Rates of Growth Equipment and backhaul prices are dropping Every doubling of volume drops the price per unit of bandwidth to roughly 80% of previous price Demand for bandwidth is increasing Driven by new, broadband-enabled, applications But, if the rate of price decline is slower than the rate of bandwidth demand growth Either bandwidth demand is throttled, or traffic-sensitive operating costs increase Bits/user/month Demand unsustainable without increased revenue Sustainable stagnation time

Assumption: Traffic Costs are Significant Traffic-sensitive costs are already an important part of a provider s cost structure Mainly due to traffic transferred to/from the general Internet When associated with non-affiliated services, the provider receives no direct revenue Overprovisioning doesn t help Questions of Validity Both the internal provisioning and the general Internet costs have a granularity which complicates cost estimates Nature of the information needed to validate assumption

Assumption: Connectivity is the Product Access to third party services on the general Internet will continue to be a significant portion of traffic Provider receives no revenue from these services Increasingly difficult to recover costs with flat-rate pricing as volume of this traffic increases

Solutions Some commonly proposed solutions and their impact are briefly discussed In particular, those with adverse impact on innovation Two approaches to solving the problem (sometimes used together): Solutions that constrain cost Solutions that increase revenue This is not a complete list or taxonomy of solutions

Solution: Throttle Traffic Throttle bandwidth to constrain growth rate Shaping of aggregate and/or individual user bandwidth Implementation Problems How to throttle fairly Over what averaging interval? User irritation Inhibits new applications and supresses new usages Negative effects on remainder of value chain

Solution: Reduce Interdomain Traffic Re-architect the network to reduce volume of traffic exchanged with other networks Caches or mirrors of popular content within provider network Only works for broadcast traffic, not communications Popular movie and music downloads, web sites No effect on traffic used for communicating between individuals

Solution: Smooth the demand Pricing or Architectural changes which alter the time pattern of traffic Typical traffic shows significant variation over time User interface issues Backhaul costs determined by traffic volume at peak usage levels Smooth peak demand into acceptable aggregate levels Weekly Traffic on an OC-192 link Daily

Solution: Subsidizing the connection cost Recover cost of increased traffic by charging for another service offered by the access provider Web hosting, email, customer service, etc. Local or affiliated content distribution Better alignment between usage costs and prices is critical Inefficient methods for recovering cost will reduce incentive to improve broadband access available for general Internet traffic Incentive to discriminate against general Internet traffic, either through traffic shaping or lack of investment Other problems Competition for other services may make this difficult Regulatory constraints

Solution: Charge for Usage Recover the cost of increased traffic by charging for it directly Higher flat rates not a solution Increasing variance with access capability implies difficulty in establishing one flat rate across all users Providers increasingly face competition for access offering User experience issues Like mobile carrier minutes, but much harder to quantify Other disadvantages Cost of metering usage Usage charges may actually lower costs (through reduced traffic) more than they increase revenues

Solution: Charge Third Parties Recover Usage Costs through charging third parties Examples currently in use: Local ad insertion in television Call termination fees in telephony Recommended devices Improved delivery of content from affiliated content providers Competition from Edge Adware on personal computers

Validating the Problem Statement Desire for pooled database, allowing analysis by researchers to validate assumptions and problem statement But Industry information on user behavior is considered highly confidential For now, validation through comments on white paper draft from providers Approaches to Solutions Which solutions foster innovation? Are there other solutions we should consider?