Abstract
Service-oriented content adaptation scheme has emerged to address content adaptation problem. In this scheme, content adaptation functions are provided as services by multiple providers, located across wide area network. To benefit from these services, clients must be able to locate them in the network. This makes service discovery as an important component. In this paper, we propose a service discovery protocol that takes into account searching space, searching time, QoS and physical location of the potential providers. The performance of the proposed protocol is studied in term of discoverability under various conditions and shown to be substantially better than the keyword-based and QoS-based approaches.
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References
Fawaz, Y., Berhe, G., Brunie, L., Scuturici, V.-M., Coquil, D.: Efficient Execution of Service Composition for Content Adaptation in Pervasive Computing. Int. Journal of Digital Multimedia Broadcasting, 1–10 (2008)
Md Fudzee, M.-F., Abawajy, J.: QoS-based Adaptation Service Selection Broker. Future Generation Computer Systems 27(3), 256–264 (2011)
Azhan, N., Hui, S., Imran, G., Izzuddin, T.: Using Service-based Content Adaptation Platform to Enhance Mobile User Experience. In: Int. Conf. on Mobile Technology and Applications, pp. 552–557. ACM Press, New York (2007)
Tonnies, S., Kohncke, B., Hennig, P., Balke, W.: A Service Oriented Architecture for Personalized Rich Media Delivery. In: IEEE Int. Conf. on Service Computing, pp. 340–347. IEEE Press, New York (2009)
Mian, A., Baldoni, R., Beraldi, R.: A Survey of Service Discovery Protocols in Multihop Mobile Ad Hoc Networks. IEEE Pervasive Computing 8(1), 66–74 (2009)
Yu, Q., Liu, X., Bouuettaya, A., Medjahed, B.: Deploying and Managing Web Services: Issues, Solutions, and Direction. The VLDB Journal 17, 537–572 (2008)
Kritikos, K., Plexousakis, D.: Requirements for QoS-based Web Service Description and Discovery. IEEE Trans. on Service Computing 2(4), 320–327 (2009)
Song, X., Dou, W.: A Workflow Framework for Intelligent Service Composition. Future Generation Computer Systems 27(5), 627–636 (2011)
Kritikos, K., Plexousakis, D.: Mixed-integer Programming for QoS-based Web Service Matchmaking. IEEE Trans. on Service Computing 2(2), 122–139 (2009)
Dastjerdi, A., Tabatabaei, S., Buyya, R.: An Effective Architecture for Automated Appliance Management System Applying Ontology-based Cloud Discovery. In: 10th IEEE/ACM CCGrid, pp. 104–112. IEEE Press, New York (2010)
Pastore, S.: The Service Discovery Methods Issue: A Web Services UDDI Specification Framework Integrated in a Grid Environment. Journal of Network and Computer Applications 31, 93–107 (2008)
Chakraborty, D., Joshi, A., Yesh, Y., Finin, T.: GSD: A Novel Group-based Service Discovery Protocol for MANETS. In: 4th IEEE Conf. on Mobile and Wireless Communications Networks, pp. 140–144. IEEE Press, New York (2002)
Berhe, G., Brunie, L., Pierson, J.: Content Adaptation in Distributed Multimedia Systems. Journal of Digital Information Management 3(2), 96–100 (2005)
Md Fudzee, M.-F., Abawajy, J., Deris, M.: Service Discovery for Service-oriented Content Adaptation. In: 7th ICST Mobiquitous, pp. 1–2. Springer, Heidelberg (2010)
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Md Fudzee, M.F., Abawajy, J. (2011). A Protocol for Discovering Content Adaptation Services. In: Xiang, Y., Cuzzocrea, A., Hobbs, M., Zhou, W. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2011. Lecture Notes in Computer Science, vol 7017. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24669-2_23
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DOI: https://doi.org/10.1007/978-3-642-24669-2_23
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