| 634 |
@InProceedings{2020:REACT,
AUTHOR = {Pfannm\"{u}ller, Martin and Breitbach, Martin and Krupitzer, Christian and Weckesser, Marcus and Becker, Christian and Schmerl, Bradley and Sch\"{u}rr, Andy},
TITLE = {REACT: A Model-Based Runtime Environment for Adapting Communication Systems},
YEAR = {2020},
MONTH = {19-23 August},
BOOKTITLE = {Proceedings of the 2020 IEEE Conference on Autonomic Computing and Self-organizing Systems (ACSOS)},
ADDRESS = {Washington, D.C.},
ABSTRACT = {Trends such as the Internet of Things or edge
computing lead to a growing number of networked devices.
Hence, it is becoming increasingly important to manage communication
systems at runtime. Adding self-adaptive capabilities
is one approach to reduce administrative effort and cope with
changing execution contexts. Existing frameworks for building
self-adaptive software can help to reduce development effort
in general. Yet, they are neither tailored towards the use
in communication systems nor easily usable without profound
knowledge in self-adaptive systems development. In this paper, we
propose REACT, a reusable, model-based runtime environment
to complement communication systems with adaptive behavior. It
addresses the heterogeneity and distribution aspects of networks
and reduces development effort. REACT empowers developers
of communication systems to add adaptive behavior without
having experience in self-adaptive systems development. We
show the effectiveness and efficiency of our prototype in an
experimental evaluation based on two distinct use cases from
the communication systems domain: cloud resource management
and software-defined networking. The first use case includes a
comparison with Rainbow, which represents a state-of-the-art
model-based framework for building self-adaptive systems. The
second use case applies REACT in a sophisticated, real-world
communication system scenario.},
KEYWORDS = {Self-adaptation}
}
|
|
