&lt;title&gt;Design of a variable bit rate continuous media file server for an ATM network&lt;/title&gt;

Neufeld, Gerald W.; Makaroff, Dwight; Hutchinson, Norman C.

doi:10.1117/12.235890

Cited by 26 publications

(13 citation statements)

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“…Stream-oriented algorithms handle retrieval of continuous data streams. Several proposed algorithms exist, e.g., the scheduler in the continuous media file system (CMFS) [1,10], grouped sweep scheduling (GSS) [16], BubbleUp [4], T-scan [5], batched SCAN (BSCAN) [7], buffer-inventory-based dynamic scheduling (BIDS) [11], and greedy-but-safe earliest-deadline-first (GS_EDF) [15]. Mixed-media algorithms recognize that different disk requests may have different requirements with respect to service level.…”

Section: Storage Devices Schedulingmentioning

confidence: 99%

Object Storage Systems Support for Database

Zhipeng¹,

Dan²,

Xudong³

2007

2007 International Conference on Convergence Information Technology (ICCIT 2007)

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In this paper, we propose some emerging research direction as a combination of both Object-based Storage (OBS) system and conventional Database technology, grounded on the cutting edge study of OBS system. We've estimated possible needs for OBS on the demand of our database study, and the schedule algorithm within Object Storage Device (OSD) scale, along with a primary principle & analysis of Object-placement after Object-encapsulation of database. Nevertheless, this paper has been presumed as only a nascent issue, rather than a mature one as a combined study of database and Object-based storage technology. The project team I'm working for would therefore carry out more systematic overall study and realization strategies in future, in fields such as the OBS-based database architecture, database object-placement, query & maintain, as well as schedule method within a single OSD, as well as performance comparison with traditional database system. We sincerely look forward to the further development in both areas by the coalition of database and Object-based Storage technology.

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Section: Storage Devices Schedulingmentioning

confidence: 99%

Object Storage Systems Support for Database

Zhipeng¹,

Dan²,

Xudong³

2007

2007 International Conference on Convergence Information Technology (ICCIT 2007)

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“…The Fellini storage system by Martin et al [1996] uses a client-pull model for accessing constant or variable bit-rate stream data and does resource reservation based on the worst case requirements of each stream. In the continuous media file server proposed by Neufeld et al [1996], detailed resource reservation is done for each round, but the study focuses on storing data of an entire stream on a single disk. The Symphony multimedia file system by Shenoy et al [1998] integrates data of different types on the same platform, with admission control based on peak rate assumptions.…”

Section: Design and Implementation Of Video Server Systemsmentioning

confidence: 99%

Scalable and fault-tolerant support for variable bit-rate data in the exedra streaming server

2005

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We describe the design and implementation of the Exedra continuous media server, and experimentally evaluate alternative resource management policies using a prototype system that we built. Exedra has been designed to provide scalable and efficient support for variable bit-rate media streams whose compression efficiency leads to reduced storage space and bandwidth requirements in comparison to constant bit-rate streams of equivalent quality. We examine alternative disk striping policies, and quantify the benefits of innovative techniques for storage space allocation, buffer management, and resource reservation, which we developed to achieve both predictability and high-performance in handling disk and network data transfers of variable size. Additionally, we investigate the differences between diverse data replication schemes over disk arrays, and compare methods for disk access time reservation that enable tolerance of disk failures at minimal cost. Overall, we demonstrate the feasibility of building network media servers that exploit the latest advances in media compression technology towards reducing the cost of wide-scale streaming services for stored data.

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“…A key component of determining the amount of a resource to reserve is characterizing each streams' bandwidth. In [19,22,25], the admission control is examined from the point of network bandwidth allocation on the server side.…”

Section: Related Workmentioning

confidence: 99%

A unified benchmarking and model-based framework for building QoS-aware streaming media services

2006

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A number of technology and workload trends motivate us to consider the appropriate resource allocation mechanisms and policies for streaming media services in shared cluster environments. We present MediaGuarda model-based infrastructure for building streaming media services -that can efficiently determine the fraction of server resources required to support a particular client request over its expected lifetime. The proposed solution is based on a unified cost function that uses a single value to reflect overall resource requirements such as the CPU, disk, memory, and bandwidth necessary to support a particular media stream based on its bit rate and whether it is likely to be served from memory or disk. We design a novel, time-segment-based memory model of a media server to efficiently determine in linear time whether a request will incur memory or disk access when given the history of previous accesses and the behavior of the server's main memory file buffer cache. Using the MediaGuard framework, we design two media services: (1) an efficient and accurate admission control service for streaming media servers that accounts for the impact of the server's main memory file buffer cache, and (2) a shared streaming media hosting service that can efficiently allocate the predefined shares of server resources to the hosted media services, while providing performance isolation and QoS guarantees among the hosted services. Our evaluation shows that, relative to a pessimistic admission control policy that assumes that all content must be served from disk, Media-L. Cherkasova · W. Tang (B) Guard (as well as services that are built using it) deliver a factor of two improvement in server throughput.

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<title>Design of a variable bit rate continuous media file server for an ATM network</title>

Cited by 26 publications

References 0 publications

Object Storage Systems Support for Database

Object Storage Systems Support for Database

Scalable and fault-tolerant support for variable bit-rate data in the exedra streaming server

A unified benchmarking and model-based framework for building QoS-aware streaming media services

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