SWIM: An Exemplar for Evaluation and Comparison of
Self-Adaptation Approaches for Web Applications
Gabriel A. Moreno,
Bradley Schmerl and
David Garlan.
In Proceedings of the 13th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, Gothenburg, Sweden, 28-29 May 2018. Best Artifact Paper Award Winner.
Online links:   Plain Text
Abstract
| Research in self-adaptive systems often uses web applications as
target systems, running the actual software on real web servers.
This approach has three drawbacks. First, these systems are not
easy and/or cheap to deploy. Second, run-time conditions cannot
be replicated exactly to compare diferent adaptation approaches
due to uncontrolled factors. Third, running experiments is time-
consuming. To address these issues, we present SWIM, an exemplar
that simulates a web application. SWIM can be used as a target
system with an external adaptation manager interacting with it
through its TCP-based interface. Since the servers are simulated,
this use case addresses the irst two problems. The full beneit
of SWIM is attained when the adaptation manager is built as a
simulation module. An experiment using a simulated 60-server
cluster, processing 18 hours of traic with 29 million requests takes
only 5 minutes to run on a laptop computer. SWIM has been used
for evaluating self-adaptation approaches, and for a comparative
study of model-based predictive approaches to self-adaptation. |
Keywords: Self-adaptation.
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