%
% GENERATED FROM http://acme.able.cs.cmu.edu
%    by   : anonymous
%    IP   : ec2-18-226-94-206.us-east-2.compute.amazonaws.com
%    at   : Sat, 20 Jul 2024 15:26:06 -0400 GMT
%    
% Selection : Publication #566
%


<tr><td><table><tr><td>

@InProceedings{SEAMS:SWIM:2018,
      AUTHOR = {Moreno, Gabriel A. and Schmerl, Bradley and Garlan, David},
      TITLE = {SWIM: An Exemplar for Evaluation and Comparison of
Self-Adaptation Approaches for Web Applications},
      YEAR = {2018},
      MONTH = {28-29 May},
      BOOKTITLE = {Proceedings of the 13th International Symposium on Software Engineering for Adaptive and Self-Managing Systems},
      ADDRESS = {Gothenburg, Sweden},
      PDF = {http://acme.able.cs.cmu.edu/pubs/uploads/pdf/seams18-swim-cr.pdf},
      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.},
      NOTE = {<strong>Best Artifact Paper Award Winner</strong>},
      KEYWORDS = {Self-adaptation}
}