Distribution of Video-on-Demand in Residential Networks

Segarra, Juan; Cholvi, Vicent

doi:10.1007/3-540-44763-6_7

Cited by 7 publications

(7 citation statements)

References 12 publications

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“…Looking at the available literature, the common trend is to consider a tree structure for the VoD network (e.g., see [5], [6], and the references therein). One reason for this consideration is that the flow in the network is one directional.…”

Section: Introductionmentioning

confidence: 99%

Video-on-Demand Network Design and Maintenance Using Fuzzy Optimization

Abadpour

Alfa

Diamond

2008

IEEE Trans. Syst., Man, Cybern. B

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Abstract-Video-on-demand (VoD) is the entertainment source that, in the future, will likely overtake regular television in many aspects. Although many companies have deployed working VoD services, some aspects of the VoD should still undergo further improvement in order for it to reach to the foreseen potentials. An important aspect of a VoD system is the underlying network in which it operates. According to the huge number of customers in this network, it should be carefully designed to fulfill certain performance criteria. This process should be capable of finding optimal locations for the nodes of the network as well as determining the content that should be cached in each one. While this problem is categorized in the general group of network optimization problems, its specific characteristics demand a new solution to be sought for it. In this paper, which is inspired by the successful use of fuzzy optimization in similar problems in other fields, a fuzzy objective function that is heuristically shown to minimize the communication cost in a VoD network is derived while also controlling the storage cost. Then, an iterative algorithm is proposed to find a locally optimal solution to the proposed objective function. Capitalizing on the unrepeatable tendency of the proposed algorithm, a heuristic method for picking a good solution from a bundle of solutions produced by the proposed algorithm is also suggested. This paper includes a formal statement of the problem and its mathematical analysis. In addition, different scenarios in which the proposed algorithm can be utilized are discussed.Index Terms-Fuzzy optimization, network design, video-ondemand (VoD).

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Section: Introductionmentioning

confidence: 99%

Video-on-Demand Network Design and Maintenance Using Fuzzy Optimization

Abadpour

Alfa

Diamond

2008

IEEE Trans. Syst., Man, Cybern. B

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“…The popularity distribution of video content has a direct impact on the design of efficient prior storing strategy. Previous studies on VoD services frequently have used Zipf distribution to model the popularity of video object in their systems [2], [3].In a typical VOD system, the probability of accessing a video (or content segment of a video) increases with its popularity. Some prior storing strategies have been proposed in the literature taking into account the popularity of the video and not just the recently of its access (which is taken care of by the Least Recently Used (LRU) scheme) or the frequency of its access (which is taken care of by the Least Frequently Used (LFU) scheme) [4].…”

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confidence: 99%

Video Contents Prior Storing Server for Optical Access Network

Tsang¹

2015

IJCNC

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One of the most important multimedia applications is Internet protocol TV (IPTV) for next-generation networks. IPTV provides triple-play services that require high-speed access networks with the functions of multicasting and quality of service (QoS) guarantees. Among optical access networks, Ethernet passive optical networks (EPONs 1.INTRODUCTIONThe fast advance of optical access networking technologies makes various services through the IP network feasible. Especially, Internet Protocol Television (IPTV) has been a killer application of Internet services and provides new revenue opportunities for Internet service providers. IPTV provides digital television services including live television, time shifted television (TSTV), and video on demand (VoD), using the Internet protocol suite over the packet-switched and optical networks, such as the Internet. Generally, live broadcast TV channels are encoded and delivered in IP multicast streams, whereas TSTV and VoD services are provided in unicast streams. The number of video streams sent simultaneously by the head-end office to the consumer varies by the internet networks, but it is strictly restricted due to bandwidth limitation. A typical architecture of IPTV service system is depicted in this paper.The key challenge in streaming media application is how to reduce data delivery latency, networks bandwidth and disk I/O bandwidth requirement in order to support more concurrent consumers [1]. An efficient approach is to deploy local video content servers close to the consumers at the access network. The distributed local video content servers allow operators to economically alleviate the inherent storage and network bandwidth limitation, proportionally distribute the subscriber load and service demand. The capacity of local video content server is also finite, however, an efficient strategy for improving quality of service (QoS) by storing popular video content that are likely to be used in the near future is strongly recommended. In this paper, therefore, an efficient prior storing management scheme is investigated for distributed IPTV local video content services. Video Content prior storage is a fundamental strategy for improving the performance and quality of service perceived by consumers. Furthermore, only several percentage point improvement in hit ratio by a good prior storing management is almost equivalent effect to a several-fold increase in storage sizes. Therefore a design of an efficient prior storing management algorithm is very important to enhance the performance of prior storing systems effectively. The popularity distribution of video content has a direct impact on the design of efficient prior storing strategy. Previous studies on VoD services frequently have used Zipf distribution to model the popularity of video object in their systems [2], [3].In a typical VOD system, the probability of accessing a video (or content segment of a video) increases with its popularity. Some prior storing strategies have been proposed in the literature taki...

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“…This suggests that a relatively small amount of storage can achieve a high hit ratio if the cached content is carefully chosen. Previous studies in the distribution of multimedia files in CDNs or in VoD applications have used Zipf's Law to characterize the popularity of the different files [2,12,13]. However, empirical data indicates that a Zipf model is not a good fit for the most popular files [1,9].…”

Section: Related Work and Contributionmentioning

confidence: 99%