QoS-Aware Middleware for Service Allocation in Mobile Cloud Computing - Rahimi, M. Reza
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Mobile computing research is expanding beyond the traditional approach on voice and data delivery to encompass new classes of rich mobile applications such as location based services, mobile social networks, crowd computing and sensory based applications. These classes of mobile applications have quantitative and qualitative criteria of growing importance like efficiency and performance, scalability, privacy and reliability. The next generation of mobile enterprise systems will monitor and analyze the mobile computing ecosystem and adapt their execution environments and resources accordingly.…mehr

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Produktbeschreibung
Mobile computing research is expanding beyond the traditional approach on voice and data delivery to encompass new classes of rich mobile applications such as location based services, mobile social networks, crowd computing and sensory based applications. These classes of mobile applications have quantitative and qualitative criteria of growing importance like efficiency and performance, scalability, privacy and reliability. The next generation of mobile enterprise systems will monitor and analyze the mobile computing ecosystem and adapt their execution environments and resources accordingly. In this work I focus on orchestrating all components of such a complex system to have an optimal mobile cloud computing enterprise which meets users and providers' concerns.
Autorenporträt
Reza got his B.Sc in Electrical Engineering and first master in Computer Science both from Sharif University of Technology. He got his second master in Software Engineering from University of Regina in Canada. His current research interests are, Multimedia and Cloud Computing, System Oriented Architecture and Combinatorial Optimization.