An adaptive video multicast scheme for varying workloads

Hua, Kien A.; Oh, Junghwan; Vu, Khanh

doi:10.1007/s005300100047

Cited by 13 publications

(4 citation statements)

References 49 publications

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“…The total communication load on the server for this set of clients is relative to maximum number of levels D /t w . This arrangement has the advantage that the server can detect LR problems quickly and is more reliable than any other scheme with message hopping from LR to LR until the server is reached [4], [15], [16]. After all, LRs are clients that can withdraw at any moment without notice.…”

Section: Figure 1 Hierarchy Under Lempmentioning

confidence: 99%

“…This is not a novel approach [4], [9], [15], 16], but the organization of the underlying access control mechanism is, since we propose a semihierarchical overlay, against the tree-like arrangements proposed by other researchers (e.g., [16]). We also propose a different mechanism for the join and departure of clients, with emphasis on fault-tolerance and self-recovery and the reduction of control overhead and simultaneous server channels.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Lemp

Fouliras

Xanthos

Tsantalis

et al. 2004

Proceedings of the 2004 ACM Symposium on Applied Computing

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In this paper, we propose a new scalable application-layer protocol, specifically designed for data streaming applications with large client sets. This is based upon a control hierarchy of successive levels for the clients, has minimal overhead with constant number of messages per client, and is robust to client and network failures, making it suitable for wireless environments. The video server bandwidth utilization is also significantly reduced. We present an analysis and simulation results, showing that LEMP is near optimum in terms of performance.

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Section: Figure 1 Hierarchy Under Lempmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Lemp

Fouliras

Xanthos

Tsantalis

et al. 2004

Proceedings of the 2004 ACM Symposium on Applied Computing

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show abstract

“…It was shown that a hybrid solution that combines both on-demand multicast and periodic broadcast offer the best performance [40]. The adaptive hybrid approach periodically measures the popularity of each video based on the distribution of recent service requests [40]. Popular videos are periodically broadcast using skyscraper broadcasting, and less requested videos are serviced using batching.…”

Section: Hybrid Broadcast Schemesmentioning

confidence: 99%

“…However, in general, these techniques are not applicable to less popular videos or a varying video access pattern. It was shown that a hybrid solution that combines both on-demand multicast and periodic broadcast offer the best performance [40]. The adaptive hybrid approach periodically measures the popularity of each video based on the distribution of recent service requests [40].…”

Section: Hybrid Broadcast Schemesmentioning

confidence: 99%

Video delivery technologies for large-scale deployment of multimedia applications

2004

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Video personalization in heterogeneous and resource-constrained environments

Wei

Bhandarkar

et al. 2011

Multimedia Systems

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Access to multimedia data and multimedia services is becoming increasingly common in networked mobile environments. In such environments, both the mobile client devices and multimedia servers are typically resource constrained. Moreover, the mobile client population is often heterogeneous in terms of the clients' preferences with regard to multimedia content, the clients' quality of service requirements and system-level resource constraints. In order to provide a resource-constrained mobile client with its desired video content, it is often necessary to personalize the requested multimedia content in a manner that satisfies simultaneously the various clientspecified content preferences and the system-level resource constraints. Also, in order to simultaneously reduce the client-experienced latency, provide optimal quality of service to the clients and ensure efficient utilization of server and network resources, it is necessary to perform client request aggregation on the server end. To this end, a video personalization strategy is proposed to provide mobile, resource-constrained clients with personalized video content that is most relevant to the clients' requests while satisfying simultaneously multiple client-side system-level resource constraints. A client request aggregation strategy is also proposed to cluster client requests with similar video content preferences and similar client-side resource constraints such that the number of requests the server needs to process and service, and the client-experienced latency are both reduced simultaneously. The primary contributions of the paper are: (1) the formulation and implementation of a Multiple-choice Multi-dimensional Knapsack Problem (MMKP)-based video personalization strategy; and (2) the design and implementation of a client request aggregation strategy based on a multi-stage clustering algorithm. Experimental results comparing the proposed MMKPbased video personalization strategy to existing 0/1 Knapsack Problem (0/1KP)-based and the Fractional Knapsack Problem (FKP)-based video personalization strategies are presented. It is observed that: (1) the proposed MMKP-based personalization strategy includes more relevant video content in response to the client's request compared to the existing 0/1KP-based and FKPbased personalization strategies; and (2) in contrast to the 0/1KP-based and FKP-based personalization strategies which can satisfy only a single client-side resource constraint at a time, the proposed MMKP-based personalization strategy is capable of satisfying multiple client-side resource constraints simultaneously. Experimental results comparing the client-experienced latency with and without the proposed server-side client request aggregation strategy are also presented. It is shown that the proposed client request aggregation strategy reduces the mean clientexperienced latency without significant reduction in the average relevance of the delivered video content and without significant deviation in the client-side resources Communicated by Wu-chi...

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An adaptive video multicast scheme for varying workloads

Cited by 13 publications

References 49 publications

Lemp

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Video delivery technologies for large-scale deployment of multimedia applications

Video personalization in heterogeneous and resource-constrained environments

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