A hierarchical P2P clustering framework for video streaming systems

Demirci, Sercan; Yardimci, Asil; Sayıt, Müge; Tunalı, E. Turhan; Bulut, Hasan

doi:10.1016/j.csi.2016.08.002

Cited by 13 publications

(6 citation statements)

References 31 publications

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“…The importance of latency for Internet services has been studied in a number of works ( Briscoe et al, 2016 ). In addition to technical impacts by Abdou & Oorschot (2017) , Gauttam et al (2022) and user experience by Sharad & Lorch (2009) , Demirci et al (2017) , latency has also had a great value in e-commerce ( Akamai, 2017 ).…”

Section: Related Workmentioning

confidence: 99%

General Internet service assessment by latency including partial measurements

Komosný¹

2022

PeerJ Computer Science

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Latency is one of the key parameters of Internet services. However, it is difficult to correctly assess a service by its latency. Many latency measurements are blocked en route by routers and firewalls. For this reason, the service latency is not fully known. This work proposes a method to assess Internet services including the blocked latency measurements. Survival theory is applied to process latency values. The results show that the omission of blocked latencies from statistical processing severely underestimates the service latency. Two Internet service providers were compared as an example. Their latency difference was 9 ms using the traditional approach. The survival latency resulted in a difference of 17 ms. The method of survival latency can be used to increase revenues in e-commerce and to improve the experience of online gaming.

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Section: Related Workmentioning

confidence: 99%

General Internet service assessment by latency including partial measurements

Komosný¹

2022

PeerJ Computer Science

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“…23 Demirci et al discuss the use of hierarchical clustering framework for grouping together video streaming systems. 24 Kuwil et al discuss a clustering algorithm using a critical distance approach. 25 Different from these studies, we use the AgglomarativeClustering hierarchical clustering method and cosine and euclidean distance functions for grouping together data sequences for learning user navigational behavior.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Demirci et al discuss the use of hierarchical clustering framework for grouping together video streaming systems 24 . Kuwil et al discuss a clustering algorithm using a critical distance approach 25 .…”

Section: Literature Reviewmentioning

confidence: 99%

Pattern2Vec: Representation of clickstream data sequences for learning user navigational behavior

Olmezogullari

Aktaş

2021

Concurrency and Computation

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Word embedding approaches represent data sequences to handle their contextual meaning in the NLP tasks. Nowadays, there is an emerging need to understand the user behavior patterns over navigational clickstream data. However, representing the URL data sequences utilizing existing embedding approaches to cluster users' behavior with unsupervised machine learning tasks is a challenging task. This study introduces the Patter2Vec embedding approach using a representation vector to construct contextual, precise, and interpretable clusters over the hidden and popular navigational patterns. To test the usability of the proposed representation in clustering tasks, we conduct an experimental study, which indicates that Pattern2Vec outperforms existing embedding approaches.

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“…Afterward, every peer uses SSM to exchange its connections with that candidate peer in order to reduce the topology mismatch by keeping the degree of network same. Hierarchical clustering After mOverlay, the authors of mOverlay proposed hierarchical clustering of peers 33 that uses delay metric as a clustering parameter for joining, splitting, merging, and leader election of peers. Peers measure distance to leaders of different clusters and join that cluster, which has RTT value below predefined threshold.…”

Section: Dynamic Landmarksmentioning

confidence: 99%

A survey and comparison on overlay‐underlay mapping techniques in peer‐to‐peer overlay networks

Ijaz

Welzl

Jamil

2018

Int J Communication

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Peer-to-peer (P2P) overlay networks were developed initially for file sharing such as Napster and Gnutella; but later, they have become popular for content sharing, media streaming, telephony applications, etc. Underlay-unawareness in P2P systems can result in suboptimal peer selection for overlay routing and hence poor performance. In this paper, we present a comprehensive survey of the research work carried out to solve the overlay-underlay mapping problems up till now. The majority of underlay-aware proposals for peer selection focus on finding the shortest overlay routes by selecting nearest nodes according to proximity information. Another class of approaches is based on passive or active probing for provision of underlay information to P2P applications. Some other optimizations propose use of P2P middleware to extract, process, and refine underlay information and provide it to P2P overlay applications.Another class of approaches strive to use ISPs or third parties to provide underlay information to P2P overlay applications according to their requirements. We have made a state-of-the-art review and comparison for addressing the overlay-underlay mismatch in terms of their operation, merits, limitations, and future directions.

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A hierarchical P2P clustering framework for video streaming systems

Cited by 13 publications

References 31 publications

General Internet service assessment by latency including partial measurements

General Internet service assessment by latency including partial measurements

Pattern2Vec: Representation of clickstream data sequences for learning user navigational behavior

A survey and comparison on overlay‐underlay mapping techniques in peer‐to‐peer overlay networks

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