activity
20172024
most citedP4CEP: Towards In-Network Complex Event Processing

42 citations · 126 across the 17 of their papers we have counts for

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Showing 2017Show all

6 papers · 1 filter

cs.DC2017

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…

cs.DC2017★ 4 cited

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…

cs.DC2017★ 1 cited

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…

cs.DC2017★ 19 cited

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…

eess.SY2017★ 9 cited

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…

cs.DC2017★ 3 cited

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…