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Dynamic path determination policy for distributed multimedia content adaptation
Multimedia content adaptation allows the ever increasing variety of handheld devices such as Smartphones to access distributed rich media resources available on the Internet today. Path planning and determination is a fundamental problem in enhancing performance of distributed multimedia content adaptation systems. Most of the existing path determination mechanisms use static path determination criteria based solely on associating a path with a single behavior aggregate score. However, some criteria such as availability are best represented using different functionality rather than being accumulated into the aggregate score. Moreover, since selection criteria have different behavior towards the score, this principle need to be considered. In this paper, we propose a dynamic multi-criteria path determination policy that selects an optimal path to the content adaptation services that best meet the user preferences and QoS requirements. The performance of the proposed approach is studied in terms of score’s fairness and reliability under different variations. The results indicate that the proposed policy performs substantially better than the baseline policy.
History
Journal
Multimedia tools and applicationsVolume
74Issue
19Pagination
8325 - 8341Publisher
SpringerLocation
Berlin, GermanyPublisher DOI
ISSN
1380-7501eISSN
1573-7721Language
engPublication classification
C1 Refereed article in a scholarly journal; C Journal articleCopyright notice
2015, SpringerUsage metrics
Categories
Keywords
Content adaptationDistributed systemsMulti-criteria decision makingPerformance analysisService oriented architectureScience & TechnologyTechnologyComputer Science, Information SystemsComputer Science, Software EngineeringComputer Science, Theory & MethodsEngineering, Electrical & ElectronicComputer ScienceEngineeringMulti-criteria decisionmakingSERVICEInformation SystemsArtificial Intelligence and Image ProcessingComputer SoftwareDistributed Computing
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