Matches in UGent Biblio for { <https://biblio.ugent.be/publication/4181650#aggregation> ?p ?o. }
Showing items 1 to 32 of
32
with 100 items per page.
- aggregation classification "P1".
- aggregation creator B78104.
- aggregation creator person.
- aggregation date "2013".
- aggregation format "application/pdf".
- aggregation hasFormat 4181650.bibtex.
- aggregation hasFormat 4181650.csv.
- aggregation hasFormat 4181650.dc.
- aggregation hasFormat 4181650.didl.
- aggregation hasFormat 4181650.doc.
- aggregation hasFormat 4181650.json.
- aggregation hasFormat 4181650.mets.
- aggregation hasFormat 4181650.mods.
- aggregation hasFormat 4181650.rdf.
- aggregation hasFormat 4181650.ris.
- aggregation hasFormat 4181650.txt.
- aggregation hasFormat 4181650.xls.
- aggregation hasFormat 4181650.yaml.
- aggregation isPartOf urn:isbn:9781479907380.
- aggregation language "eng".
- aggregation publisher "IEEE".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Technology and Engineering".
- aggregation title "A smartphone agent for QoE evaluation and user classification over mobile networks".
- aggregation abstract "The continuous growth of mobile users and bandwidth-consuming applications and the shortage of radio resources put a serious challenge on how to efficiently exploit existing networks and contemporary improve Quality of Experience. One of the most relevant problem for network operators is thus to find an explicit relationship between QoS and QoE, for the purpose of maximizing the latter while saving precious resources. In order to accomplish this challenging task, we present TeleAbarth, an innovative Android application entirely developed at TelecomItalia Laboratories, able to contemporary collect network measurements and end-users quality feedback regarding the use of smartphone applications. We deployed TeleAbarth in a field experimentation in order to study the relationship between QoS and QoE for video streaming applications, in terms of downstream bandwidth and video loading time. On the basis of the results obtained, we propose a technique to classify user behavior through his or her reliability, sensibility and fairness.".
- aggregation authorList BK200114.
- aggregation endPage "235".
- aggregation startPage "230".
- aggregation aggregates 4182102.
- aggregation aggregates 4182103.
- aggregation isDescribedBy 4181650.
- aggregation similarTo LU-4181650.