Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Dashlet: Taming Swipe Uncertainty for Robust Short Video Streaming   Short video streaming applications have recently gained substantial traction,
but the non-linear video presentation they afford swiping users fundamentally
changes the problem of maximizing user quality of experience in the face of the
vagaries of network throughput and user swipe timing. This paper describes the
design and implementation of Dashlet, a system tailored for high quality of
experience in short video streaming applications. With the insights we glean
from an in-the-wild TikTok performance study and a user study focused on swipe
patterns, Dashlet proposes a novel out-of-order video chunk pre-buffering
mechanism that leverages a simple, non machine learning-based model of users'
swipe statistics to determine the pre-buffering order and bitrate. The net
result is a system that achieves 77-99% of an oracle system's QoE and
outperforms TikTok by 43.9-45.1x, while also reducing by 30% the number of
bytes wasted on downloaded video that is never watched.

30
The categories of this paper are: q-alg
4
The categories of this paper are: cond-mat
33
The categories of this paper are: plasm-ph
17
The categories of this paper are: q-fin
26
The categories of this paper are: bayes-an
16
The categories of this paper are: stat
11
The categories of this paper are: hep-lat
24
The categories of this paper are: dg-ga
2
The categories of this paper are: math
35
The categories of this paper are: mtrl-th
27
The categories of this paper are: comp-gas
32
The categories of this paper are: atom-ph
37
The categories of this paper are: supr-con
28
The categories of this paper are: alg-geom
10
The categories of this paper are: q-bio
25
The categories of this paper are: patt-sol