The current diversity of transport services, as well as the complexity resulting from the deployment of specific transport protocols or mechanisms over the different services provided by heterogeneous networks, demand a novel design of the transport layer. Moreover, current and future applications will only be able to take advantage of the most adapted and available transport services if they are able to interact (i.e. discover, compose, deploy and adapt) efficiently with this advanced transport layer. The work presented in this book proposes a model-driven methodology and a service-oriented approach aimed at designing the mechanisms, functions, protocols and services of the next generation transport layer. The first part of this book presents the state of the art of transport protocols and introduces a model-driven methodology and an ontology semantic model implementation aimed at designing next generation transport protocols. The second part presents the UML-based design of a component-based transport protocol. An extension to this protocol based on service-component and service-oriented architectures is also presented. The third part presents various model-driven adaptive strategies aimed at managing the behavioral and structural adaptation of next generation autonomic transport protocols. The fourth and final part presents the design of a transport layer based on component-oriented and service-oriented approaches and integrating the autonomic computing paradigm guided by the semantic dimension provided by ontologies.
By:
Ernesto Exposito Imprint: ISTE Ltd and John Wiley & Sons Inc Country of Publication: United Kingdom Dimensions:
Height: 241mm,
Width: 163mm,
Spine: 23mm
Weight: 599g ISBN:9781848213746 ISBN 10: 1848213743 Pages: 304 Publication Date:17 December 2012 Audience:
Professional and scholarly
,
Undergraduate
Format:Hardback Publisher's Status: Active
"Ernesto exposito is Associated Professor at Institut National des Sciences Appliquées (INSA) de Toulouse Researcher at ""Laboratoire d'Analyse et d'Architecture des Systèmes"" (LAAS) du CNRS, team SARA."