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Mass-Count Disparity in Mobile Traffic

Title
Mass-Count Disparity in Mobile Traffic
Author
원영준
Keywords
Measurement; mobile traffic
Issue Date
2016-01
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation
IEEE COMMUNICATIONS LETTERS, v. 20, NO 1, Page. 65-68
Abstract
Mass-count disparity is a basis of the elephants and mice phenomenon in Internet traffic analysis. Mobile applications tend to minimize transmission overhead by reducing object size. Assuming the mice get smaller, we first look at properties of mass-count disparity in the smart device traffic. We find the existence of elephants and represent an accurate inequality measure using the Gini coefficient where the heavy-tail property is not clearly visible in the trace. The Gini coefficients range from 0.71 (web) to 0.98 (application market traffic), implying a heavy inequality distribution toward 1. The cutoff point of elephants is 1.55 MB that is even comparable with small size photos. Our hypothesis from the early analysis indicates that every mobile user is potentially generating elephant flows. We observe that a significant stance of application market traffic is responsible for such phenomenon.
URI
http://ieeexplore.ieee.org/document/7312899/http://hdl.handle.net/20.500.11754/30340
ISSN
1089-7798; 1558-2558
DOI
10.1109/LCOMM.2015.2496594
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > INFORMATION SYSTEMS(정보시스템학과) > Articles
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