Storage system architectures for continuous media data

Maier, David; Walpole, Jonathan; Staehli, Richard

doi:10.1007/3-540-57301-1_1

Cited by 16 publications

(4 citation statements)

References 7 publications

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“…Numerous research prototypes based on different architectural approaches have been proposed within the last few years. The most prominent research issues of this area include data modeling for multimedia applications [7], storage management [8] and buffer management for continuous data [10],support of distributed architectures [11] and support of multimedia presentations especially the synchronization aspect [12] …”

Section: Related Workmentioning

confidence: 99%

Java based distributed multimedia data streaming with object request broker

Noor

2008

2008 International Symposium on Information Technology

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As multimedia capable computers become cheaper and more pervasive in the consumer and corporate markets, and as the availability of digital information increases, the need for low-cost, crossplatform multimedia applications will steadily rise. However multimedia data is nearly useless if there is no computer-aided manipulating, searching, and retrieving mechanism to obtain the desired media contents. This paper describes a research project of a Java-based multimedia data query, streaming and presentation for distributed multimedia database. This work addresses the problem of integrating multimedia content into network and internet based database applications. The application was designed using JAVA technology for developing client application/GUI and server application. Java provides a set of class libraries, called the Java Media Framework (JMF), which provides the crossplatform multimedia data support required by the application as well as by using Java, it can utilize all its functionality across platforms within any Javaenabled web browsers. This allows greater use of audio video data, because the users will no longer need to pre-install any software to present or play the data, beyond Java compatibility. The Object Relational Database Management (IBM DB2) is used for the development of multimedia database as it allows queries to be performed on complex data.

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Section: Related Workmentioning

confidence: 99%

Java based distributed multimedia data streaming with object request broker

Noor

2008

2008 International Symposium on Information Technology

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“…Relational data manipulation languages have demonstrated the value of letting the application specify what is wanted, and letting the database plan how to retrieve it. To support time-based presentations, a data manipulation language for a multimedia database should also allow the application to specify when, where, and how precisely the data should be delivered [23]. These constraints on delivery are an example of a QoS-based interface.…”

Section: Contributionsmentioning

confidence: 99%

A Logical Approach to Quality of Service Specification in Video Databases

Bertino

Elmagarmid

Hacid

2004

Multimedia Tools and Applications

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Abstract. Quality of Service (QoS) is defined as a set of perceivable attributes expressed in a user-friendly language with parameters that may be objective or subjective. Objective parameters are those related to a particular service and are measurable and verifiable. Subjective parameters are those based on the opinions of the end-users. We believe that quality of service should become an integral part of multimedia database systems and users should be able to query by requiring a quality of service from the system. The specification and enforcement of QoS presents an interesting challenge in multimedia systems development. A deal of effort has been done on QoS specification and control at the system and the network levels, but less work has been done at the application/user level. In this paper, we propose a language, in the style of constraint database languages, for formal specification of QoS constraints. The satisfaction by the system of the user quality requirements can be viewed as a constraint satisfaction problem, and the negotiation can be viewed as constraint optimization. We believe this paper represents a first step towards the development of a database framework for quality of service management in video databases. The contribution of this paper lies in providing a logical framework for specifying and enforcing quality of service in video databases. To our knowledge, this work is the first from a database perspective on quality of service management.

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“…Data which arrives too early will displace other data from the file system buffer cache. The ideal is to have prefetched data streaming into memory so that it is available just in time as it is needed by the application (Maier 1993).…”

Section: Motivationmentioning

confidence: 99%

Predictable File Access Latency for Multimedia

Revel

Cowan

McNamee

et al. 1997

Building QoS Into Distributed Systems

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Multimedia applications are sensitive to 110 latency and jitter when accessing data in secondary storage. Transparent adaptive prefetching (TAP) uses software feedback to provide multimedia applications with file system quality of service (QoS) guarantees. We are investigating how QoS requirements can be communicated and how they can be met by adaptive resource management. A preliminary test of adaptive prefetching is presented.

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Storage system architectures for continuous media data

Cited by 16 publications

References 7 publications

Java based distributed multimedia data streaming with object request broker

Java based distributed multimedia data streaming with object request broker

A Logical Approach to Quality of Service Specification in Video Databases

Predictable File Access Latency for Multimedia

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