End-to-End Transmission Control by Modeling Uncertainty about the Network State
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Author(s)
Winstein, Keith J.
Balakrishnan, Hari
Date Issued
November 2011
Journal
Proceedings of the Tenth ACM Workshop on Hot Topics in Networks (Hotnets X)
Publisher
Association for Computing Machinery
Citation
Winstein, Keith and Hari Balakrishnan. "End-to-End Transmission Control by Modeling Uncertainty about the Network State." In: Proceedings of the Tenth ACM Workshop on Hot Topics in Networks (Hotnets X), November 14-15, 2011, Cambridge, Mass.
Version
Author's final manuscript
Abstract
This paper argues that the bar for the incorporation of a
new subnetwork or link technology in the current Internet is
much more than the ability to send minimum-sized IP packets:
success requires that TCP perform well over any subnetwork.
This requirement imposes a number of additional constraints,
some hard to meet because TCP’s network model is
limited and its overall objective challenging to specify precisely.
As a result, network evolution has been hampered
and the potential of new subnetwork technologies has not
been realized in practice. The poor end-to-end performance
of many important subnetworks, such as wide-area cellular
networks that zealously hide non-congestive losses and introduce
enormous delays as a result, or home broadband networks
that suffer from the notorious “bufferbloat” problem,
are symptoms of this more general issue.
We propose an alternate architecture for end-to-end resource
management and transmission control, in which the
endpoints work directly to achieve a specified goal. Each
endpoint treats the network as an nondeterministic automaton
whose parameters and topology are uncertain. The endpoint
maintains a probability distribution on what it thinks
the network’s configuration may be. At each moment, the
endpoint acts to maximize the expected value of a utility
function that is given explicitly. We present preliminary
simulation results arguing that the approach is tractable and
holds promise.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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http://conferences.sigcomm.org/hotnets/2011/program.shtml
http://dblp.uni-trier.de/db/conf/hotnets/hotnets2011.html
