Abstract
This research is aimed at providing theoretically rigorous, flexible, efficient, and scalable methodologies for intelligent delivery of data in a dynamic and resource constrained environment. Our proposed solution utilizes a uniform client and server profilization for data delivery and describe the challenges in developing optimized hybrid data delivery schedules. We also present an approach that aims at constructing automatic adaptive policies for data delivery to overcome various modeling errors utilizing feedback.
An erratum to this chapter can be found at http://dx.doi.org/10.1007/11915072_109.
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Roitman, H. (2006). Profile-Based Online Data Delivery. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops. OTM 2006. Lecture Notes in Computer Science, vol 4278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11915072_47
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DOI: https://doi.org/10.1007/11915072_47
Publisher Name: Springer, Berlin, Heidelberg
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