Adaptive QoS management using layered multi-agent system for distributed multimedia applications

Kosuga, Masakatsu; Yamazaki, T.; Ogino, Nagao; Matsuda, Jun

doi:10.1109/icpp.1999.797426

Cited by 8 publications

(6 citation statements)

References 5 publications

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“…Some of these contextual elements can be dynamic and can be changed according to the time or the place. Unfortunately, most architectures Bouix et al (2005) and Derdour (Kosuga, Yamazaki, Ogino, Matsuda, 1999) Presenting an adaptive QoS management mechanism on the basis of layered multi-agent system (MAS).…”

Section: Related Workmentioning

confidence: 99%

An Adaptation Architecture Dedicated to Personalized Management of Multimedia Documents

Bettou¹,

Boufaïda²

2017

International Journal of Multimedia Data Engineering and Management

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Currently, the democratization of wireless communication means coupled with the advanced technological hardware can offer portable devices that fit in the hand with a very large capacity of computation such as PDAs, mobile phones and even wireless sensors. The users' preferences, in which the document is presented, may need to be considered because the adaption of multimedia content through them is an important aspect of Quality of Service. Our research work focuses on the adaptation of multimedia documents with a strong interest on the interaction based on the user preferences. In this paper, we propose formal definitions of concepts related to the technical adaptation that selects a relevant policy in order to perform an adapted document in the situation where conflicts are detected between the heterogeneity of multimedia document properties and the user needs. We present also an architecture for adapting multimedia contents based on the preferences and we develop a user preference interface. We illustrate the proposed approach with a case study.

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Section: Related Workmentioning

confidence: 99%

An Adaptation Architecture Dedicated to Personalized Management of Multimedia Documents

Bettou¹,

Boufaïda²

2017

International Journal of Multimedia Data Engineering and Management

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“…Little research has addressed the development of end-to-end quality of service (QoS) management mechanisms for applications [8]. As one example, applications need to be capable of specifying and requesting network resources [9].…”

Section: Qos In Application Managementmentioning

confidence: 99%

Quality of service process variables in complex B2B systems integration assessment

Maule

Gallup

Schacher

2004

Proceedings. IEEE International Conference on E-Commerce Technology, 2004. CEC 2004.

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This paper presents QoS variables in the organization of complex business processes in large-scale systems integration. A specific focus is on QoS assessment structures that address variables to include: (a) network infrastructure evolution; (b) open and proprietary mid-level applications; and (c) decision-support processes assessing technologies and capabilities. The research is based on a QoS analysis system for complex military B2B and systems integration projects.

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“…Changes in development conditions may stem from identifying the need to 1) change the original QoS requirements for a system [20], 2) provide additional systems in a product line with different QoS requirements, and 3) deploy the system on heterogeneous platforms [19]. Changes in runtime conditions may result from 1) high system load, 2) component failure, and 3) hardware upgrade (for example, memory upgrade).…”

Section: Introductionmentioning

confidence: 99%

On the Customization of Components: A Rule-Based Approach

Zhang

Cooper

et al. 2007

IEEE Trans. Knowl. Data Eng.

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Realizing the quality-of-service (QoS) requirements for a software system continues to be an important and challenging issue in software engineering. A software system may need to be updated or reconfigured to provide modified QoS capabilities. These changes can occur at development time or at runtime. In component-based software engineering, software systems are built by composing components. When the QoS requirements change, there is a need to reconfigure the components. Unfortunately, many components are not designed to be reconfigurable, especially in terms of QoS capabilities. It is often labor-intensive and error-prone work to reconfigure the components, as developers need to manually check and modify the source code. Furthermore, the work requires experienced senior developers, which makes it costly. The limitations motivate the development of a new rule-based semiautomated component parameterization technique that performs code analysis to identify and adapt parameters and changes components into reconfigurable ones. Compared with a number of alternative QoS adaptation approaches, the proposed rule-based technique has advantages in terms of flexibility, extensibility, and efficiency. The adapted components support the reconfiguration of potential QoS trade-offs among time, space, quality, and so forth. The proposed rule-based technique has been successfully applied to two substantial libraries of components. The F-measure or balanced F-score results for the validation are excellent, that is, 94 percent.

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Adaptive QoS management using layered multi-agent system for distributed multimedia applications

Cited by 8 publications

References 5 publications

An Adaptation Architecture Dedicated to Personalized Management of Multimedia Documents

An Adaptation Architecture Dedicated to Personalized Management of Multimedia Documents

Quality of service process variables in complex B2B systems integration assessment

On the Customization of Components: A Rule-Based Approach

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