A novel video layout strategy for near-video-on-demand servers

Chen, S.

doi:10.1109/mmcs.1997.609556

Cited by 13 publications

(12 citation statements)

References 16 publications

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“…In [2] and [7], data placement schemes for Equal-length Broadcasting (EB) [3], the simplest PB scheme, are presented (the two schemes are almost the same). If (min.)…”

Section: Simple Data Placementmentioning

confidence: 99%

“…Disk bandwidth may be saved by disk scheduling, buffer replacement, and data placement. There are a few works on disk scheduling or data placement for periodic broadcasts [2,7]. Proper placement of data onto disks may be a method of saving the disk bandwidth.…”

Section: Introductionmentioning

confidence: 99%

“…Proper placement of data onto disks may be a method of saving the disk bandwidth. [2] and [7] proposed video data placement schemes for a VoD server periodically broadcasting videos, which enables the server to load data from disks to memory buffer without disk seek. However, these schemes are optimized for equal-length broadcasts(EB) [3], which is one of the earliest periodic broadcast schemes, and are not effective for modern schemes such as pyramid-based schemes.…”

Section: Introductionmentioning

confidence: 99%

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Generalized data placement for periodic broadcast of videos

Kwon

Yeom

2001

IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.

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Periodic broadcast(PB), one of the Near-VOD techniques, can service an unlimited number of clients simultaneously with bounded service latency. Most work on PB has only focused on network bandwidth and client buffer requirements. However, disk bandwidth needs to be considered in order to minimize the server's cost. In this paper, we propose a generalized data placement scheme for PB servers. Unlike existing schemes devised for a specific P-B technique, our scheme does not depend on the PB techniques, and it is devised considering the variation in disk load induced by VBR-encoded videos.

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“…In [2] and [7], data placement schemes for Equal-length Broadcasting (EB) [3], the simplest PB scheme, are presented (the two schemes are almost the same). If (min.)…”

Section: Simple Data Placementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Generalized data placement for periodic broadcast of videos

Kwon

Yeom

2001

IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.

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“…Such a system typically stores a large number of videos in one or more servers [7][8][9][10][11][12][13][14]. When a request for a video arrives, it is loaded from disks in a server and transmitted to the client in an isochronous stream [15][16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

An adaptive video multicast scheme for varying workloads

Hua

Oh²,

2002

Multimedia Systems

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Periodic broadcast and scheduled multicast have been shown to be very effective in reducing the demand on server bandwidth. While periodic broadcast is better for popular videos, scheduled multicast is more suitable for less popular ones. Work has also been done to show that a hybrid of these techniques offer the best performance. Existing hybrid schemes, however, assume that the characteristic of the workload does not change with time. This assumption is not true for many applications, such as movie on demand, digital video libraries, or electronic commerce. In this paper, we show that existing scheduled multicast techniques are not suited for hybrid designs. To address this issue, we propose a new approach and use it to design an adaptive hybrid strategy. Our technique adjusts itself to cope with a changing workload. We provide simulation results to demonstrate that the proposed technique is significantly better than the best static approach in terms of service latency, throughput, defection rate, and unfairness.

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“…• Batch Service: One multimedia stream can serve more customers who select the same multimedia program in one batch period [8,9,10,11]. Therefore, the system becomes more cost-effective as it serves more users simultaneously ( Figure 2).…”

Section: Introductionmentioning

confidence: 99%

Hybrid multimedia-on-demand systems

Wong

Lee

et al.

ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240)

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Abstract-As broadband networks keep increasing in transmission speed, multimedia-on-demand (MOD) is expected to be one of the most popular broadband services in the near future. MOD systems can provide two types of services: interactive service and batch service. The interactive service provides each user with one dedicated stream. With it, the user can use the VCR function controls such as pause, forward and rewind. However, the service is expensive and not scalable to system size. With batch service, the users who request the same multimedia content within a batch period will be grouped together and served by one dedicated stream. Hence, the system can either use fewer resources or serve more customers. However, batch users must wait for programs to begin and are unable to perform VCR function control. In this paper, we take advantage of both services by considering an MOD system that provides both services. Also, we propose two methods to optimize their coexistence. In addition, an analytical model is derived for performance evaluation. Numerical results show that the proposed hybrid system really outperforms both individual systems. The hybrid system provides a superior solution to both the service providers and the users. Specifically, given a limited storage resource, the service provider receives more revenue by serving more users concurrently, while the users have a satisfactory viewing experience due to higher availability of programs and the low average waiting time.

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A novel video layout strategy for near-video-on-demand servers

Cited by 13 publications

References 16 publications

Generalized data placement for periodic broadcast of videos

Generalized data placement for periodic broadcast of videos

An adaptive video multicast scheme for varying workloads

Hybrid multimedia-on-demand systems

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