- ...Internet
- The authors wish to
acknowledge support from National Science Foundation grant
SBR-9230481. The most current version of this paper will be
available for anonymous ftp, gopher, and in HTML
format for World Wide Web access at
gopher.econ.lsa.umich.edu. Both authors are members of the
Department of Economics, University of Michigan, Ann Arbor, MI
48109-1220. They can be reached at jmm@umich.edu and
Hal.Varian@umich.edu.
- ...Perspectives.
- We are
grateful to the American Economics Association for permission to
reprint substantial portions of that material.
- ...Center
- Beginning in the early 1990s, the statistics do not reflect
the size of the total U.S. network because alternative backbones
began appearing. It is generally believed that the NSFNET accounted
for at least 75 of U.S. backbone traffic until around September
1994, after which its share rapidly fells as the NSFNET was
gradually phased out. Shutdown occurred on 30 April 1995.
- ...network.
- Recall that a byte is equivalent
to one ASCII character.
- ...customers.
- Because most cable networks
are one-way, many of these initial efforts use an ``asymmetric''
network connector that brings the input in through the TV cable at
10 Mbps, but sends the output out through a regular phone line at
about 14.4 Kbps. This scheme may be popular since most users tend
to download more information than they upload.
- ...problem.
- The single
largest current use of network capacity is file transfer, much of
which is distribution of files from central archives to distributed
local archives. The timing for a large fraction of file transfer is
likely to be flexible. Just as most fax machines allow faxes to be
transmitted at off-peak times, large data files could easily be
transferred at off-peak times---if users had appropriate incentives
to adopt such practices.
- ...degradation.
- The effects of network
congestion are usually negligible until usage is very close to
capacity.
- ...not?
- Many university employees routinely use email rather
than the phone to communicate with friends and family at other
Internet-connected sites. Likewise, a service is now being offered
to transmit faxes between cities over the Internet for free, then
paying only the local phone call charges to deliver them to the
intended fax machine. And during early 1985, several versions of
Internet voice telephone software have been released, allowing
people to hold two-way conversattions --- using large amounts of
bandwidth --- but paying nothing to offset the service quality
degradation they are imposing on other users.
- ...cost.
- See [Gupta et al.
1994] for a related study of
priority pricing to manage Internet congestion.
- ...changed.
- [MacKie-Mason et al.
1995a] and [Murphy and Murphy1994]
describe an alternative congestion pricing scheme that would set
prices based on a current measure of congestion in a gateway, then
communicate these to the user. The user would then decide how much
traffic to send during the current pricing interval. This mechanism
is easier to implement, but at least in principle it does not match
the efficiency of the smart market.
- ...zero.
- Since most users are willing
to tolerate some delay for email, file transfer and so forth, most
traffic should be able to go through with acceptable delays at a
zero congestion price, but time-critical traffic will typically pay
a positive price.
- ...request.
- Public file servers in Chile and New
Zealand already face this problem: any packets they send in response
to requests from foreign hosts are charged by the network. Network
administrators in New Zealand are concerned that this blind charging
scheme is stifling the production of information public goods. For
now, those public archives that do exist have a sign-on notice
pleading with international users to be considerate of the costs they
are imposing on the archive providers.
- ...packets.
- Statistical sampling could lower costs
substantially, but its acceptability depends on the level at which
usage is measured---e.g., user or organization---and on the
statistical distribution of demand. For example, strong serial
correlation can cause problems.
- ...traffic.
- If this example doesn't seem compelling because the
costs are borne by the networks whose users are generating the demand
for the large Web traffic flows, then imagine that the free-riding
provider instead services junk email servers that send out vast
quantities of unsolicited email. Other users don't want to reach
these servers, so this net does not have to provide capacity to handle
incoming traffic.
Jeffrey K. MacKie-Mason
Tue Jul 11 10:21:32 EDT 1995