A multi-CDN request routing strategy

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dc.contributor.authorSöderlund, Oscar
dc.contributor.departmentChalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers)sv
dc.contributor.departmentChalmers University of Technology / Department of Computer Science and Engineering (Chalmers)en
dc.date.accessioned2019-07-03T13:38:43Z
dc.date.available2019-07-03T13:38:43Z
dc.date.issued2015
dc.description.abstractIn this thesis, we design and implement a multi-CDN request routing strategy for Spotify’s audio files. Through A/B testing, we show that our strategy improves median download latency compared to Spotify’s existing routing strategy. Our strategy groups Spotify’s users by autonomous system number and country, and uses a linear programming model on download latency log messages to generate routing weights on a group-by-group basis. Our linear programming model generates routing weights with the goal of minimising request latencies, while also preserving a number of traffic volume constraints.
dc.identifier.urihttps://hdl.handle.net/20.500.12380/215188
dc.language.isoeng
dc.setspec.uppsokTechnology
dc.subjectData- och informationsvetenskap
dc.subjectComputer and Information Science
dc.titleA multi-CDN request routing strategy
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster Thesisen
dc.type.uppsokH
local.programmeComputer science – algorithms, languages and logic (MPALG), MSc
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