Comparative Analysis of Adult Video Streaming Services: Characteristics and Workload

Yu, Richard; Christophersen, Callan; Song, Yo-Der; Mahanti, Anirban

doi:10.23919/tma.2019.8784688

Cited by 12 publications

(4 citation statements)

References 7 publications

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“…Many empirical studies on various types of network traffic also validate the presence of power-law characteristics [3]. Analysis of traffic patterns on cloud platforms [4], DNS servers [5], video streams [6], web and peer to peer networks [7], wifi network [8], satellite network [9] time between consecutive anomalies [10] establish the existence of power-law behavior. One main proposition of these studies is that the inter-arrival time of packets or requests follow power law distribution like Pareto.…”

Section: Introductionmentioning

confidence: 86%

Analysis of Power-law Queues Using Maximum Entropy Framework: An Application to Performance Evaluation of Network Systems

Sharma

2023

Preprint

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Extensive research on traffic of modern communication networks including Internet and wireless establish the presence of power-law behavior. However, developing traffic models capturing power-law characteristics is a difficult task due to analytical intractability. Adopting maximum entropy approach, a theoretical model Pow/Pow/1/∞ has been proposed recently. The paper extends the framework to build two new theoretical models Pow/Pow/1/K and Pow/Pow/K/K where both inter-arrival and service times follow power law distribution. Closed form expressions of queue length distribution and various performance measures are derived in terms of traffic intensity ρ. An explicit expression for state probability distribution of Pow/Pow/K/K is also derived and compared with well-known Erlang loss formula. Both queue length distribution and blocking probability are found to depict power-law implying that increasing buffers have little impact on improving the performance of systems in these cases. Numerical computations reveal that the mean queue length explodes as ρ tends to 0.5 resulting in longer delay. The variance of number of packets also depicts sharp rise as ρ approaches to 0.3. These results are in close agreement with the empirical studies carried out on real traffic traces in the past. The proposed models are useful in designing networks, dimensioning resources and developing congestion control algorithms.

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Section: Introductionmentioning

confidence: 86%

Analysis of Power-law Queues Using Maximum Entropy Framework: An Application to Performance Evaluation of Network Systems

Sharma

2023

Preprint

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“…The authors analyzed the communities' seclusion features and the users' characteristics in terms of age, habits, and gender. Recently, Yu et al [29] compare in their article WP video consumption to general video streaming services such as YouTube. They find notable differences in terms of video duration and frequency at which users rate videos.…”

Section: Related Workmentioning

confidence: 99%

Understanding web pornography usage from traffic analysis

et al. 2021

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“…Although this topic remains a taboo in some research fields, there has been an expanding body of research into the video platforms that drive its delivery. We have seen recent work inspecting the content corpus of popular adult websites [20,18] and their workloads [12,24,3,25] as well as various studies that have attempted to estimate the load that they create on the wider Internet. For example, [14] estimates that Porn 2.0 sites such as xHamster and YouPorn can gain up to 16 million views per month.…”

Section: Background and Related Workmentioning

confidence: 99%

“…A particularly prevalent form of online video is that of adult content, i.e., pornographic material [3]. In the last five years there has been a surge of research activity in this space, attempting to characterize the content corpus of sites [20,18], the workload of sites [24,3] and the use of adult social networks [19]. Despite this, we still lack the breadth and depth of understanding common to many other aspects of online video delivery.…”

Section: Introductionmentioning

confidence: 99%

Dissecting the Workload of a Major Adult Video Portal

Grammenos

Böttger

Gilani

et al. 2020

Passive and Active Measurement

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Adult content constitutes a major source of Internet traffic. As with many other platforms, these sites are incentivized to engage users and maintain them on the site. This engagement (e.g., through recommendations) shapes the journeys taken through such sites. Using data from a large content delivery network, we explore session journeys within an adult website. We take two perspectives. We first inspect the corpus available on these platforms. Following this, we investigate the session access patterns. We make a number of observations that could be exploited for optimizing delivery, e.g., that users often skip within video streams.

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Comparative Analysis of Adult Video Streaming Services: Characteristics and Workload

Cited by 12 publications

References 7 publications

Analysis of Power-law Queues Using Maximum Entropy Framework: An Application to Performance Evaluation of Network Systems

Analysis of Power-law Queues Using Maximum Entropy Framework: An Application to Performance Evaluation of Network Systems

Understanding web pornography usage from traffic analysis

Dissecting the Workload of a Major Adult Video Portal

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