Empirical Dataset of 1200 hours of Experiment: Reliability and Performance Measurements of Dynamic Routing Applications

<p>This artifact presents the empirical measurements of an experiment with 1200 hours of runtime. We repeated the experiment 200 runs, each for 6 hours. The data folder provides the empirical data, and the plots folder gives the distribution of reliability and performance measurements in 200 runs.&nbsp;</p> <p><strong>For reliability</strong>, we simulate component crashes and measure the request loss. To simulate component crashes, we generate a random number for each service and router and stop the docker container if the generated number is below a crash probability (0.5% in this study).&nbsp;</p> <p><strong>For performance</strong>, we consider the round-trip time of requests going through several services until the requests are processed.</p> <p>The experiment cases are:&nbsp;</p> <p>Four levels of call frequency <span class="math-tex">\(cf\)</span>: 10, 25, 50, 100 requests/second (r/s)</p> <p>Three levels of service: 3, 5, 10<br> the number of services <span class="math-tex">\(n_{serv}\)</span>&nbsp;in a call sequence</p> <p>Three architectures:&nbsp;<br> Central Entity (CE): one router&nbsp;<span class="math-tex">\(n_{rout} = 1\)</span><br> Dynamic Routers (DR): three&nbsp;routers&nbsp;<span class="math-tex">\(n_{rout} = 3\)</span><br> Sidecar Architecture (SA): 1 router per service <span class="math-tex">\(n_{rout} = n_{serv}\)</span></p>