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dc.contributor.authorBrown, Lloyd
dc.contributor.authorAlcoz, Albert Gran
dc.contributor.authorCangialosi, Frank
dc.contributor.authorNarayan, Akshay
dc.contributor.authorAlizadeh, Mohammad
dc.contributor.authorBalakrishnan, Hari
dc.contributor.authorFriedman, Eric
dc.contributor.authorKatz-Bassett, Ethan
dc.contributor.authorKrishnamurthy, Arvind
dc.contributor.authorSchapira, Michael
dc.contributor.authorShenker, Scott
dc.date.accessioned2024-09-05T13:45:08Z
dc.date.available2024-09-05T13:45:08Z
dc.date.issued2024-08-04
dc.identifier.isbn979-8-4007-0614-1
dc.identifier.urihttps://hdl.handle.net/1721.1/156675
dc.description.abstractGiven the technical flaws with---and the increasing non-observance of---the TCP-friendliness paradigm, we must rethink how the Internet should manage bandwidth allocation. We explore this question from first principles, but remain within the constraints of the Internet's current architecture and commercial arrangements. We propose a new framework, Recursive Congestion Shares (RCS), that provides bandwidth allocations independent of which congestion control algorithms flows use but consistent with the Internet's economics. We show that RCS achieves this goal using game-theoretic calculations and simulations as well as network emulation.en_US
dc.publisherACM|ACM SIGCOMM 2024 Conferenceen_US
dc.relation.isversionofhttps://doi.org/10.1145/3651890.3672247en_US
dc.rightsCreative Commons Attribution-ShareAlikeen_US
dc.rights.urihttps://creativecommons.org/licenses/by-sa/4.0/en_US
dc.sourceAssociation for Computing Machineryen_US
dc.titlePrinciples for Internet Congestion Managementen_US
dc.typeArticleen_US
dc.identifier.citationLloyd Brown, Albert Gran Alcoz, Frank Cangialosi, Akshay Narayan, Mohammad Alizadeh, Hari Balakrishnan, Eric Friedman, Ethan Katz-Bassett, Arvind Krishnamurthy, Michael Schapira, and Scott Shenker. 2024. Principles for Internet Congestion Management. In Proceedings of the ACM SIGCOMM 2024 Conference (ACM SIGCOMM '24). Association for Computing Machinery, New York, NY, USA, 166–180.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2024-09-01T07:47:27Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2024-09-01T07:47:27Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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