With the rapid development of mobile devices and deep learning, mobile smart applications
using deep learning technology have sprung up. It satisfies multiple needs of users, network …

Countless novel approaches to communication protocols, overlay networks, and distributed
middleware are published every year, yet the adoption of such novel findings in the global …

End users can mutually share their computing resources in ad-hoc computing environments
with code offloading. This augments the computational power of resource-constrained …

Parallel server frameworks are widely deployed in modern large-data processing
applications. Intuitively, splitting and parallel processing of the workload provides …

It is pivotal and challenging for crowdsensing systems to guarantee the reliable uploading of
sensory data from source devices (workers) to a centralized platform, in order to process …

In der Dissertation wird aufgezeigt, dass die Analyse, die Umsetzung und die Evaluation von
Kommunikationssystemen durch i) fehlende Abstraktionen und die resultierende …

This dissertation discusses the mathematical modeling of dynamical systems under
uncertainty, Bayesian inference and learning of the unknown quantities, such as the …

Since the beginning of the twenty-first century, communication systems have witnessed a
revolution in terms of their hardware capabilities. This transformation has enabled modern …

The dissertation studies two distinct classes of models from applied probability literature and
attempts to answer questions that are of asymptotic nature. The answers to those questions …