Paper Info
Title
CoalaViz: Supporting Traceability of Adaptation Decisions in Pervasive Communication Systems
Abstract
Today's pervasive communication systems are highly configurable to adapt themselves dynamically to continuously changing contexts of the system such as varying workloads and user preferences. For a particular context, usually numerous valid system configurations exist, and each configuration may perform differently in terms of nonfunctional properties like energy consumption or task throughput. For tackling these challenges, in previous work, we introduced Coala, a model-based adaptation approach to derive optimal system configurations considering multiple performance goals. In this paper, we present CoalaViz, a novel tool for visualizing the self-adaptive behavior of pervasive communication systems. With CoalaViz, we provide a tool for making adaptation decisions in self-adaptive pervasive communication systems traceable while being applicable for a wide range of use cases. CoalaViz (i) visualizes the system performance over time, (ii) visualizes the system state as context feature model and graph-based network view, (iii) allows the user to change priorities of performance goals interactively, and (iv) provides a modular, extensible design. We demonstrate the applicability of CoalaViz using three pervasive system use cases.
Year
DOI
Venue
2019
10.1109/PERCOMW.2019.8730818
2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
Keywords
DocType
ISSN
Task analysis,Measurement,Wireless sensor networks,Network topology,Topology,Visualization
Conference
2474-2503
ISBN
Citations 
PageRank 
978-1-5386-9151-9
0
0.34
References 
Authors
0
8
Name
Order
Citations
PageRank
Martin Pfannemuller1213.76
Markus Weckesser2203.07
Roland Kluge3235.06
Janick Edinger41110.14
Manisha Luthra5213.99
Robin Klose652.84
Christian Becker72369180.66
Andy Schürr82195230.25