Resource consumption-aware QoS in cluster-based VOD servers

Seo, Dongmahn; Lee, Joahyoung; Kim, Yoon; Choi, Chang Yeol; Kim, Manbae; Jung, Inhwa

doi:10.1016/j.sysarc.2006.07.003

Cited by 5 publications

(2 citation statements)

References 22 publications

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“…For large-scale VOD services, we implemented a cluster-based VOD server called Video On Demand on Clustering Architecture (VODCA) [13]. VODCA consists of a front-end node named the Head-end Server (HS) and several backend nodes known as the Media Management Server (MMS).…”

Section: Architecture Of Vodcamentioning

confidence: 99%

Recovery Strategies for Streaming Media Service in a Cluster-Based VOD Server with a Fault Node

Lee

Jung

2009

Int J Parallel Prog

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Due to the economic cost and good scalability, cluster-based server architecture is used for VOD services. This server consists of a front-end node and multiple backend nodes. In this server architecture, backend nodes are added simply to support large-scale on-demand clients. However, as the number of backend nodes increases, the possibility of backend node failure also increases. A backend node fault not only degrades the quality of serviced streaming media but also decreases the number of streams supported in the VOD server. For successful VOD service, even if a backend node enters a fault state, the streaming service in progress should be re-continued after a short recovery time. As the recovery strategy, when legacy RAID methods are applied to cluster-based VOD servers, the excessive internal network traffic between the backend nodes causes performance degradation. In addition, the backend nodes demonstrate inefficient CPU utilization for the recovery process. In this paper, to address these problems, a new fault recovery strategy is proposed based on the pipeline computing concept. The proposed method not only distributes the network traffic generated from the recovery operations but also makes efficient use of the CPU time available in the backend nodes. Based on these advantages, even if the cluster-based server has a backend node that fails, the proposed method provides more QoS streams compared to the existing recovery method. In addition, since the proposed method needs a very short recovery time, the streaming services in progress are sustained without degradation of media quality.

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Section: Architecture Of Vodcamentioning

confidence: 99%

Recovery Strategies for Streaming Media Service in a Cluster-Based VOD Server with a Fault Node

Lee

Jung

2009

Int J Parallel Prog

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“…For these reasons, we focus on both improving the performance of the recovery system and achieving a better MTTR value. For large-scale VOD services, we implemented a cluster-based VOD server called VODCA (Video On Demand on Clustering Architecture) [15]. The VODCA consists of a front-end node called the HS (Head-end Server) and several backend nodes known as MMSs (Media Management Servers).…”

Section: Related Workmentioning

confidence: 99%

Parallel failure recovery techniques in cluster-based media servers

Lee

Jung

2009

J Supercomput

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For large-scale video-on-demand (VOD) service, cluster servers are highlighted due to their high performance and low cost. A cluster server consists of a front-end node and multiple backend nodes. Though the increase in backend nodes provides more quality of service (QoS) streams, the possibility of backend node failure is proportionally increased. The failure causes not only the cessation of streaming services but also the loss of current playing positions. In this paper, when a backend node fails, recovery mechanisms are studied to support the streaming service continuously. Without considering the characteristics of cluster-based servers and MPEG media, the basic redundant array of independent disks (RAID) techniques cause a network bottleneck in the internal network path and demonstrate inefficient CPU usage in backend nodes. To address these problems, a new failure recovery mechanism is proposed based on the pipeline computing concept. The proposed method not only distributes the internal network traffic generated from the recovery operations but also utilizes the CPU time available in the backend nodes. In the experiments, even if a backend node fails, the proposed method provides continuous streaming media services within a short MTTR value as well as more QoS streams than the existing method.

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Network-adaptive autonomic transcoding algorithm for seamless streaming media service of mobile clients

Seo

Jung

2009

Multimed Tools Appl

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Resource consumption-aware QoS in cluster-based VOD servers

Cited by 5 publications

References 22 publications

Recovery Strategies for Streaming Media Service in a Cluster-Based VOD Server with a Fault Node

Recovery Strategies for Streaming Media Service in a Cluster-Based VOD Server with a Fault Node

Parallel failure recovery techniques in cluster-based media servers

Network-adaptive autonomic transcoding algorithm for seamless streaming media service of mobile clients

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