Name
Abstract | ||
|---|---|---|
Many networking applications implement topology adaptations to cope with network dynamics. Related work focuses on the specific application, lacking a general model for topology adaptations.
In this paper, we analyze 14 topology adaptations from two different application domains. Based on the derived characteristics, we propose a general topology adaptation model. We present the Topology Adaptation Rule Language (TARL) to specify topology adaptation logic following this model. We discuss the execution of TARL rules for two application domains as well as how our model enables reasoning and optimizations on topology adaptations. For the evaluation, we developed a TARL runtime environment as a reusable topology adaptation framework. TARL simplifies the development of topology adaptations and is able to express 13 of the analyzed algorithms.
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Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/2897053.2897061 | SEAMS@ICSE |
Keywords | Field | DocType |
topology adaptation,language,model,communication,wireless sensor networks,video streaming overlays | Inductive logic programming,Logical topology,Topology,Network dynamics,General topology,Computer science,Network topology,Pattern matching,Wireless sensor network,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-4503-4187-5 | 5 | 0.39 |
References | Authors | |
30 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael Stein | 1 | 35 | 7.64 |
| Alexander Frömmgen | 2 | 51 | 7.69 |
| Roland Kluge | 3 | 23 | 5.06 |
| Frank Löffler | 4 | 5 | 0.39 |
| Andy Schürr | 5 | 2195 | 230.25 |
| Alejandro P. Buchmann | 6 | 689 | 141.82 |
| Max Mühlhäuser | 7 | 1652 | 252.87 |