Home // INTELLI 2014, The Third International Conference on Intelligent Systems and Applications // View article
Authors:
Nayyab Zia Naqvi
Davy Preuveneers
Yolande Berbers
Keywords: dynamic deployment; probabilistic models; mobile cloud computing;intelligent applications
Abstract:
Today’s mobile devices with advanced computing and storage resources are encouraging a whole new class of applications geared towards context-aware intelligence. However, for continuous processing of context-processing algorithms in interactive human-computing interfaces and augmented-reality experiences, these devices lack resource demands. Most of these intelligent applications rely on cloud paradigm for on demand computing, memory and storage resources. While combining both computing paradigms, finding the best strategy to deploy and configure intelligent applications, is not straightforward. In this paper, we analyse the challenges and requirements for the dynamic deployment of intelligent applications in such a federated setting. Additionally, a framework that leverages Dynamic Decision Network (DDN) is presented for decision making. DDNbased models deal with the presence of uncertainty and the partial observability of the context information, as well as the temporal effects of decisions to ascertain the Quality-of-Service and Quality-of-Context requirements. Our initial experiments with the framework demonstrate the feasibility of our approach and potential benefits to automatically make the best decision in the presence of a changing environment addressing the runtime variability.
Pages: 48 to 53
Copyright: Copyright (c) IARIA, 2014
Publication date: June 22, 2014
Published in: conference
ISSN: 2308-4065
ISBN: 978-1-61208-352-0
Location: Seville, Spain
Dates: from June 22, 2014 to June 26, 2014