Beate Ottenwälder

TL;DR: This work presents Mobile Fog, a high level programming model for the future Internet applications that are geospatially distributed, large-scale, and latency-sensitive, and analyzes use cases for the programming model with camera network and connected vehicle applications to show the efficacy of Mobile Fog.

TL;DR: This work proposes Foglets, a programming infrastructure for the geo-distributed computational continuum represented by fog nodes and the cloud, and provides APIs for a spatio-temporal data abstraction for storing and retrieving application generated data on the local nodes, and primitives for communication among the resources in the computational continuum.

TL;DR: This paper presents a placement and migration method for providers of infrastructures that incorporate cloud and fog resources that ensures application-defined end-to-end latency restrictions and reduces the network utilization by planning the migration ahead of time.

TL;DR: MCEP significantly reduces latency, network utilization, and processing overhead by providing on-demand and opportunistic adaptation algorithms to dynamically assign event streams and computing resources to operators of the MCEP system.

TL;DR: This work proposes an opportunistic spatio-temporal event processing system that uses prediction-based continuous query handling and provides timely information about a consumer's current position by hiding computation latency for processing recent events.