Combined use of prioritized AIMD and flow-based traffic splitting for robust TCP load balancing

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dc.citation.epage133en_US
dc.citation.spage124en_US
dc.citation.volumeNumber3266en_US
dc.contributor.authorAlparslan, O.en_US
dc.contributor.authorAkar, N.en_US
dc.contributor.authorKarasan, E.en_US
dc.date.accessioned2016-02-08T10:24:53Z
dc.date.available2016-02-08T10:24:53Z
dc.date.issued2004en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractIn this paper, we propose an AIMD-based TCP load balancing architecture in a backbone network where TCP flows are split between two explicitly routed paths, namely the primary and the secondary paths. We propose that primary paths have strict priority over the secondary paths with respect to packet forwarding and both paths are rate-controlled using ECN marking in the core and AIMD rate adjustment at the ingress nodes. We call this technique "prioritized AIMD". The buffers maintained at the ingress nodes for the two alternative paths help us predict the delay difference between the two paths which forms the basis for deciding on which path to forward a new-coming flow. We provide a simulation study for a large mesh network to demonstrate the efficiency of the proposed approach in terms of the average per-flow goodput and byte blocking rates. © Springer-Verlag Berlin Heidelberg 2004.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T10:24:53Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2004en
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/11693/24153
dc.language.isoEnglishen_US
dc.publisherSpringeren_US
dc.source.titleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
dc.subjectLoad balancingen_US
dc.subjectMulti-path routingen_US
dc.subjectTCPen_US
dc.subjectTraffic engineeringen_US
dc.titleCombined use of prioritized AIMD and flow-based traffic splitting for robust TCP load balancingen_US
dc.typeArticleen_US

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