42 citations · 126 across the 17 of their papers we have counts for
20 papers
Efficient Conflict Graph Creation for Time-Sensitive Networks with Dynamically Changing Communication Demands
Heiko Geppert, Frank Dürr, Kurt Rothermel
Many applications of cyber-physical systems require real-time communication: manufacturing, automotive, etc. Recent Ethernet standards for Time Sensitive Networking (TSN) offer tim…
Utility-Aware Load Shedding for Real-time Video Analytics at the Edge
Enrique Saurez, Harshit Gupta, Henriette Roger +3
Real-time video analytics typically require video frames to be processed by a query to identify objects or activities of interest while adhering to an end-to-end frame processing l…
Availability Analysis of Redundant and Replicated Cloud Services with Bayesian Networks
Otto Bibartiu, Frank Dürr, Kurt Rothermel +2
Due to the growing complexity of modern data centers, failures are not uncommon any more. Therefore, fault tolerance mechanisms play a vital role in fulfilling the availability req…
Just a Second -- Scheduling Thousands of Time-Triggered Streams in Large-Scale Networks
Heiko Geppert, Frank Dürr, Sukanya Bhowmik +1
Deterministic real-time communication with bounded delay is an essential requirement for many safety-critical cyber-physical systems, and has received much attention from major sta…
Dynamic QoS-Aware Traffic Planning for Time-Triggered Flows in the Real-time Data Plane
Jonathan Falk, Heiko Geppert, Frank Dürr +2
Many networked applications, e.g., in the domain of cyber-physical systems, require strict service guarantees, usually in the form of jitter and latency bounds, for time-triggered…
hSPICE: State-Aware Event Shedding in Complex Event Processing
Ahmad Slo, Sukanya Bhowmik, Kurt Rothermel
In complex event processing (CEP), load shedding is performed to maintain a given latency bound during overload situations when there is a limitation on resources. However, sheddin…
eSPICE: Probabilistic Load Shedding from Input Event Streams in Complex Event Processing
Ahmad Slo, Sukanya Bhowmik, Kurt Rothermel
Complex event processing systems process the input event streams on-the-fly. Since input event rate could overshoot the system's capabilities and results in violating a defined lat…
DSCEP: An Infrastructure for Distributed Semantic Complex Event Processing
Vitor Pinheiro de Almeida, Sukanya Bhowmik, Markus Endler +1
Today most applications continuously produce information under the form of streams, due to the advent of the means of collecting data. Sensors and social networks collect an immens…
pSPICE: Partial Match Shedding for Complex Event Processing
Ahmad Slo, Sukanya Bhowmik, Albert Flaig +1
Complex event processing (CEP) systems continuously process input event streams to detect patterns. Over time, the input event rate might fluctuate and overshoot the system's capab…
Using Surrogate Models and Data Assimilation for Efficient Mobile Simulations
Christoph Dibak, Wolfgang Nowak, Frank Dürr +1
Numerical simulations on mobile devices are an important tool for engineers and decision makers in the field. However, providing simulation results on mobile devices is challenging…
HYPE: Massive Hypergraph Partitioning with Neighborhood Expansion
Christian Mayer, Ruben Mayer, Sukanya Bhowmik +2
Many important real-world applications-such as social networks or distributed data bases-can be modeled as hypergraphs. In such a model, vertices represent entities-such as users o…
P4CEP: Towards In-Network Complex Event Processing
Thomas Kohler, Ruben Mayer, Frank Dürr +3
In-network computing using programmable networking hardware is a strong trend in networking that promises to reduce latency and consumption of server resources through offloading t…
Q-Graph: Preserving Query Locality in Multi-Query Graph Processing
Christian Mayer, Ruben Mayer, Jonas Grunert +2
Arising user-centric graph applications such as route planning and personalized social network analysis have initiated a shift of paradigms in modern graph processing systems towar…
Enabling Interactive Mobile Simulations Through Distributed Reduced Models
Christoph Dibak, Bernard Haasdonk, Andreas Schmidt +2
Currently, various hardware and software companies are developing augmented reality devices, most prominently Microsoft with its Hololens. Besides gaming, such devices can be used…
ADWISE: Adaptive Window-based Streaming Edge Partitioning for High-Speed Graph Processing
Christian Mayer, Ruben Mayer, Muhammad Adnan Tariq +4
In recent years, the graph partitioning problem gained importance as a mandatory preprocessing step for distributed graph processing on very large graphs. Existing graph partitioni…
Knowledge is at the Edge! How to Search in Distributed Machine Learning Models
Thomas Bach, Muhammad Adnan Tariq, Ruben Mayer +1
With the advent of the Internet of Things and Industry 4.0 an enormous amount of data is produced at the edge of the network. Due to a lack of computing power, this data is current…
SPECTRE: Supporting Consumption Policies in Window-Based Parallel Complex Event Processing
Ruben Mayer, Ahmad Slo, Muhammad Adnan Tariq +3
Distributed Complex Event Processing (DCEP) is a paradigm to infer the occurrence of complex situations in the surrounding world from basic events like sensor readings. In doing so…
Minimizing Communication Overhead in Window-Based Parallel Complex Event Processing
Ruben Mayer, Muhammad Adnan Tariq, Kurt Rothermel
Distributed Complex Event Processing has emerged as a well-established paradigm to detect situations of interest from basic sensor streams, building an operator graph between senso…
State-dependent Priority Scheduling for Networked Control Systems
Ben W. Carabelli, Rainer Blind, Frank Dürr +1
Networked control systems (NCS) have attracted considerable attention in recent years. While the stabilizability and optimal control of NCS for a given communication system has alr…
Optimized Secure Position Sharing with Non-trusted Servers
Pavel Skvortsov, Björn Schembera, Frank Dürr +1
Today, location-based applications and services such as friend finders and geo-social networks are very popular. However, storing private position information on third-party locati…