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Andreas Michalka

dblp:43/7856 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 50% High-performance computing · 50%
Software engineering, system software, and programming languages
1 paper
Compilers and program optimization · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Embedded and real-time systems › runtime adaptation
adaptive real-time systems
0.212016
Closing the loop: towards control-aware design of adaptive real-time systems · RTSS 2016
High-performance computing › program analysis
dataflow analysis
0.212016
Closing the loop: towards control-aware design of adaptive real-time systems · RTSS 2016
Compilers and program optimization › program transformation
source-to-source transformation
0.112016
Closing the loop: towards control-aware design of adaptive real-time systems · RTSS 2016

Methods — techniques the papers use, named apart from their topics

static analysis · 0.5compiler transformation · 0.5
YearPublicationVenuePosition
2018 A New Perspective on Quality Evaluation for Control Systems with Stochastic Timing
abstract
As control applications are particularly sensitive to timing variations, the Quality of Control (QoC) is degraded by varying execution conditions of the underlying real-time system. In particular, transitions between different execution or environmental conditions pose a significant issue as they may impact the QoC unexpectedly.
Maximilian Gaukler, Andreas Michalka, Peter Ulbrich, Tobias Klaus
HSCC2
2016 Closing the loop: towards control-aware design of adaptive real-time systems
abstract
This paper proposes a continuous toolchain from the original control system model to the resulting schedules. As a first step towards control-aware yet adaptive system design, we focused on a global, context-sensitive analysis of control and data flow across control-application layers and threads of execution. This step is of vital importance as these dependencies manifest differently on the various levels of abstraction. Consequently, we extract semantics and internal dependencies directly from control-system models by an extended version of the Real-Time Systems Compiler (RTSC), which is capable of analyzing and transforming real-time applications on the source code level.
Tobias Klaus, Florian Franzmann, Maximilian Gaukler, Andreas Michalka, Peter Ulbrich
RTSS4