39,259 research outputs found
Fake View Analytics in Online Video Services
Online video-on-demand(VoD) services invariably maintain a view count for
each video they serve, and it has become an important currency for various
stakeholders, from viewers, to content owners, advertizers, and the online
service providers themselves. There is often significant financial incentive to
use a robot (or a botnet) to artificially create fake views. How can we detect
the fake views? Can we detect them (and stop them) using online algorithms as
they occur? What is the extent of fake views with current VoD service
providers? These are the questions we study in the paper. We develop some
algorithms and show that they are quite effective for this problem.Comment: 25 pages, 15 figure
Characterizing a Meta-CDN
CDNs have reshaped the Internet architecture at large. They operate
(globally) distributed networks of servers to reduce latencies as well as to
increase availability for content and to handle large traffic bursts.
Traditionally, content providers were mostly limited to a single CDN operator.
However, in recent years, more and more content providers employ multiple CDNs
to serve the same content and provide the same services. Thus, switching
between CDNs, which can be beneficial to reduce costs or to select CDNs by
optimal performance in different geographic regions or to overcome CDN-specific
outages, becomes an important task. Services that tackle this task emerged,
also known as CDN broker, Multi-CDN selectors, or Meta-CDNs. Despite their
existence, little is known about Meta-CDN operation in the wild. In this paper,
we thus shed light on this topic by dissecting a major Meta-CDN. Our analysis
provides insights into its infrastructure, its operation in practice, and its
usage by Internet sites. We leverage PlanetLab and Ripe Atlas as distributed
infrastructures to study how a Meta-CDN impacts the web latency
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