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Predpomnjenje v programsko definiranih brezžičnih omrežjih na podlagi predvidevanja konteksta
ID Bizjak, Nejc (Author), ID Pejović, Veljko (Mentor) More about this mentor... This link opens in a new window

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PID: 20.500.12556/rul/b23e5c0e-cf3a-4363-ac37-3ab9ba2fda50

Abstract
V tem magistrskem delu se posvetimo izboljšanju predpomnjenja za mobilne uporabnike v večjem brezžičnem omrežju študentskega kampusa. Najprej opišemo negativne učinke mobilnosti na razmere v omrežju in uporabniško izkušnjo. Predlagamo novo metodo, ki bo s pomočjo tehnologij programsko definiranih omrežij preusmerila uporabnikove zahtevke na optimalno postavljene omrežne predpomnilnike in s tem izboljšala uporabniško izkušnjo in razbremenila jedrne omrežne povezave. Naš prispevek je omrežna aplikacija, ki prek SDN krmilnika Ryu nadzoruje omrežne tokove. Aplikacija prejme podatke o premikih uporabnikov, izračuna kateri predpomnilniki v omrežju so najprimernejši in ustrezno preusmeri uporabnikove tokove na te predpomnilnike. Našo metodo smo testirali v simulatorju omrežja Mininet. Z uporabo realnih podatkov iz študentskega kampusa na Dartmouthu smo zasnovali več testnih scenarijev. Kot glavno karakteristiko uporabniške izkušnje smo merili zakasnitev od začetka do konca zahtevka. Kot indikator stanja omrežja smo merili promet preko jedrnih povezav. Naši eksperimenti so pokazali, da naša metoda dinamičnega preusmerjanja lahko pod določenimi pogoji prinaša opazne izboljšave v primerjavi s tradicionalnimi, statičnimi pristopi.

Language:English
Keywords:Programsko definirana omrežja, predpomnjenje, brezžična omrežja, mobilnost uporabnikov
Work type:Master's thesis/paper
Organization:FRI - Faculty of Computer and Information Science
Year:2016
PID:20.500.12556/RUL-86407 This link opens in a new window
Publication date in RUL:13.10.2016
Views:1776
Downloads:541
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Secondary language

Language:Slovenian
Title:Context prediction-based prefetching in software-defined wireless networks
Abstract:
In this master thesis we focus on improving in-network caching for mobile users in a large campus WiFi network. First we pinpoint the negative effects of mobility on network conditions and user experience. We propose a method leveraging SDN technology to redirect users' requests to optimally located cache servers, resulting in improved user experience and lowered burden on the backhaul and core network links. Our contribution is a network application that controls the flows in the network via an SDN controller. The application takes user's movement traces as an input, computes the optimal location of cache servers in the network and redirects user's flows accordingly. We tested our solution in a Mininet network simulator. We devised multiple scenarios using real-world movement traces from Dartmouth Campus. We measured requests delay as the main characteristic for user experience and data traffic over core and backhaul links as an indicator of network health. Our experiments show that for mobile users our dynamic redirection approach provides noticeable improvements over traditional, static caching methods.

Keywords:Software defined networking, caching, WiFi network, user mobility

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