2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, 2015

DOI: 10.1109/cit/iucc/dasc/picom.2015.249

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Hybrid Clustered Peer-Assisted DASH-SVC System

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Cited by 6 publications

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“…From (10) it can also be observed that abundance condition could be achieved by controlling , the number of windows. Figure 3 shows that, by reducing , the required value of −1 to guarantee abundance is slightly relaxed (increased); however, reducing deteriorates the QoE parameters, as it is widely discussed in Sections 5-7 of this paper.…”

Section: =0mentioning

confidence: 94%

“…Schemes that incentivize cooperation among peers to increase the upload network capacity have been proposed on works such as [6][7][8]20]. Finally, the main focus of some other research works has been on defining schemes that determine which peers are the most appropriate to serve a downloader (given the network topology, the video distribution, and a level of cooperation among peers) in order to improve a QoS or QoE parameter; some examples of this kind of works are [7,9,10,14,15,20]. The scheme considered in this paper belongs to the last class, because the proposed window-based scheme finds the best peers capable to provide service to a given downloader; however, our contribution is not limited to that, since in addition we propose an efficient scheme to distribute the server resources.…”

Section: Related Workmentioning

confidence: 99%

“…Rate is clearly a variable that could be controlled according to (10). In Figure 2, the abundance condition for different values of the departure rate for a leech ( ) is presented.…”

Section: =0mentioning

confidence: 99%

“…It can be seen that as departure rate for a leech increases, it is necessary to increment the time that seeds remain in the system; that is, the seeds departure rate should be also reduced, since there are fewer leeches sharing the file. Hence, by using (10), and by measuring the arrival and departure rates for a leech, the network manager has a tool to offer an acceptable performance of the system by allowing all leeches to download windows at their maximum capacity. In other words, our analysis allows finding an appropriate value for this control variable.…”

Section: =0mentioning

confidence: 99%

“…Services like Live IPTV and Video on Demand (VoD) have been considered in the context of P2P networks in [1][2][3][4][5][6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A Window-Based, Server-Assisted P2P Network for VoD Services with QoE Guarantees

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Rivero-Ángeles

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et al. 2017

Mobile Information Systems

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We describe a Peer-to-Peer (P2P) network that is designed to support Video on Demand (VoD) services. This network is based on a video-file sharing mechanism that classifies peers according to the window (segment of the file) that they are downloading. This classification easily allows identifying peers that are able to share windows among them, so one of our major contributions is the definition of a mechanism that could be implemented to efficiently distribute video content in future 5G networks. Considering that cooperation among peers can be insufficient to guarantee an appropriate system performance, we also propose that this network must be assisted by upload bandwidth from servers; since these resources represent an extra cost to the service provider, especially in mobile networks, we complement our work by defining a scheme that efficiently allocates them only to those peers that are in windows with resources scarcity (we called it prioritized windows distribution scheme). On the basis of a fluid model and a Markov chain, we also developed a methodology that allows us to select the system parameters values (e.g., windows sizes or minimum servers upload bandwidth) that satisfy a set of Quality of Experience (QoE) parameters.

“…From (10) it can also be observed that abundance condition could be achieved by controlling , the number of windows. Figure 3 shows that, by reducing , the required value of −1 to guarantee abundance is slightly relaxed (increased); however, reducing deteriorates the QoE parameters, as it is widely discussed in Sections 5-7 of this paper.…”

Section: =0mentioning

confidence: 94%

“…Schemes that incentivize cooperation among peers to increase the upload network capacity have been proposed on works such as [6][7][8]20]. Finally, the main focus of some other research works has been on defining schemes that determine which peers are the most appropriate to serve a downloader (given the network topology, the video distribution, and a level of cooperation among peers) in order to improve a QoS or QoE parameter; some examples of this kind of works are [7,9,10,14,15,20]. The scheme considered in this paper belongs to the last class, because the proposed window-based scheme finds the best peers capable to provide service to a given downloader; however, our contribution is not limited to that, since in addition we propose an efficient scheme to distribute the server resources.…”

Section: Related Workmentioning

confidence: 99%

“…Rate is clearly a variable that could be controlled according to (10). In Figure 2, the abundance condition for different values of the departure rate for a leech ( ) is presented.…”

Section: =0mentioning

confidence: 99%

“…It can be seen that as departure rate for a leech increases, it is necessary to increment the time that seeds remain in the system; that is, the seeds departure rate should be also reduced, since there are fewer leeches sharing the file. Hence, by using (10), and by measuring the arrival and departure rates for a leech, the network manager has a tool to offer an acceptable performance of the system by allowing all leeches to download windows at their maximum capacity. In other words, our analysis allows finding an appropriate value for this control variable.…”

Section: =0mentioning

confidence: 99%

“…Services like Live IPTV and Video on Demand (VoD) have been considered in the context of P2P networks in [1][2][3][4][5][6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Window-Based, Server-Assisted P2P Network for VoD Services with QoE Guarantees

¹

,

Rivero-Ángeles

²

,

³

et al. 2017

Mobile Information Systems

View full text Add to dashboard Cite

We describe a Peer-to-Peer (P2P) network that is designed to support Video on Demand (VoD) services. This network is based on a video-file sharing mechanism that classifies peers according to the window (segment of the file) that they are downloading. This classification easily allows identifying peers that are able to share windows among them, so one of our major contributions is the definition of a mechanism that could be implemented to efficiently distribute video content in future 5G networks. Considering that cooperation among peers can be insufficient to guarantee an appropriate system performance, we also propose that this network must be assisted by upload bandwidth from servers; since these resources represent an extra cost to the service provider, especially in mobile networks, we complement our work by defining a scheme that efficiently allocates them only to those peers that are in windows with resources scarcity (we called it prioritized windows distribution scheme). On the basis of a fluid model and a Markov chain, we also developed a methodology that allows us to select the system parameters values (e.g., windows sizes or minimum servers upload bandwidth) that satisfy a set of Quality of Experience (QoE) parameters.

An efficient resource allocation scheme for VoD services over window-based P2P networks

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Rivero-Ángeles

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et al. 2018

Multimed Tools Appl

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No abstract

A comprehensive analytical framework for VoD services in hybrid CDN-P2P systems

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Rivero-Ángeles

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et al. 2020

Journal of Network and Computer Applications

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Video on Demand services generate the Jargest amount of traffic in networks nowadays. Previous works have proposed integrating Content Delivery Networks (CON) and Peer-to-Peer (P2P) networks to satisfy this demand. However, their analytical methods do not consider al) the factors that affect the performance of these systems. Hence, we present a nove) comprehensive framework, based on a fluid mode), to evaluate VoD services over hybrid CDN-P2P systems. The proposed framework considers features of the service (e.g., size, coding-rate and popularity of the video), network attributes (e.g., upload data-rate capacity of servers and peers) and char acteristics of the behavior of the users (e.g., sojourn time, cooperativeness and frequency of random-seeks). Our framework allows a system to be evaluated under a wide variety of scenarios in terms of network-cost and Quality-of-Service (QoS) parameters and is flexible enough to mode) different resource allocation schemes, including a nove! scheme to distribute the upload network capacity. Despite the wide variety of considered factors, our framework is tractable and as accurate as discrete-models based on Markov chains.

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