activity
20182026
most citedP4CEP: Towards In-Network Complex Event Processing

42 citations · 88 across the 10 of their papers we have counts for

collaborators

13 papers

cs.DC2026

A Spatially-Aware Publish-Subscribe Middleware for IoT Applications

Philipp Ungrund, Kurt Rothermel, Sukanya Bhowmik

Spatial and proximity awareness are critical enablers for efficient communication in Cyber-Physical Systems (CPS) and the Internet of Things (IoT). However, the lack of suitable mi…

cs.DC2026

A Self-Adaptive Extensible CEP framework for the Cloud-Edge Continuum

Olaf Markus Link, Sukanya Bhowmik

Traditional complex event processing (CEP) systems focus on extracting information out of simple events in the input event streams to detect complex event patterns. In the context…

cs.DC2023

Grand Perspective: Load Shedding in Distributed CEP Applications

Henriette Röger, Sukanya Bhowmik, Kurt Rothermel

In distributed Complex Event Processing (CEP) applications with high load but limited resources, bottleneck operators in the operator graph can significantly slow down processing o…

cs.DC2023

gSPICE: Model-Based Event Shedding in Complex Event Processing

Ahmad Slo, Sukanya Bhowmik, Kurt Rothermel

Overload situations, in the presence of resource limitations, in complex event processing (CEP) systems are typically handled using load shedding to maintain a given latency bound.…

cs.DC2023★ 1 cited

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…

cs.NI2023★ 1 cited

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…

cs.NI2021★ 26 cited

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…

cs.DC2020★ 2 cited

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…

cs.DC2020★ 16 cited

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…

cs.DC2020

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…

cs.DC2020

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…

cs.DC2018

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…

cs.NI2018★ 42 cited

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…