Interactive media server with media synchronized RAID storage system

Lim, Seung-Ho; Jeong, Yoon-Su; Park, Kyu‐Ho

doi:10.1145/1065983.1066024

Cited by 7 publications

(10 citation statements)

References 11 publications

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“…By using these jumping read operations, we can minimize the data bandwidth of server disks and reduce the load on the server disks. However, if video files are written to disks in encoding order (which is a conventional way to store video files), the jumping read operations result in huge amounts of random access in the server disk [3]. It is thus difficult to simultaneously provide video data in real-time, with minimal delay, to many users using HDD-based servers.…”

Section: Interactive Media Operationsmentioning

confidence: 99%

An SSD-Based Storage System for an Interactive Media Server Using Video Frame Grouping

Jeong¹,

Park²,

Seo³

et al. 2013

ETRI J

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For real-time interactive multimedia operations, such as video uploading, video play, fast-forward, and fast-rewind, solid state disk (SSD)-based storage systems for video streaming servers are becoming more important. Random access rates in storage systems increase significantly with the number of users; it is thus difficult to simultaneously serve many users with HDD-based storage systems, which have low random access performance. Because there is no mechanical operation in NAND flash-based SSDs, they outperform HDDs in terms of flexible random access operation. In addition, due to the multichannel architecture of SSDs, they perform similarly to HDDs in terms of sequential access. In this paper, we propose a new SSD-based storage system for interactive media servers. Based on the proposed method, it is possible to maximize the channel utilization of the SSD's multichannel architecture. Accordingly, we can improve the performance of SSD-based storage systems for interactive media operations.

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Section: Interactive Media Operationsmentioning

confidence: 99%

An SSD-Based Storage System for an Interactive Media Server Using Video Frame Grouping

Jeong¹,

Park²,

Seo³

et al. 2013

ETRI J

Self Cite

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“…Each GOP of this stream consists of nine ILs. Generally, the ILs have different data sizes in the encoded stream, although a rate control is used in the encoder [6]. Table 1 shows GOP k ði; jÞ which indicates the combinations of necessary ILs according to the requested scalability levels.…”

Section: Problem To Solvementioning

confidence: 99%

“…In these schemes [5][6][7]11], traverse distance can be reduced by considering the data access pattern depending on the requested resolution. As shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

Arrangement of multi-dimensional scalable video data for heterogeneous clients

Seo¹,

Baek²,

Park³

2010

Information Systems

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“…Disk striping (RAID-0) meets goal 1 by spreading data across all disks and may meet goal 2 by choosing the stripe size appropriately [11,16,31]. However, goal 3 is not met since prior work has shown that RAID-0 array performance tracks the slowest disk [2].…”

Section: Achieving Reliable Performancementioning

confidence: 99%