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Performance Engineering for Microservices and Serverless Applications : The RADON Approach

, , , , , and . Companion of the ACM/SPEC International Conference on Performance Engineering, page 46-49. New York, NY, Association for Computing Machinery, (2020)
DOI: 10.1145/3375555.3383120

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Trace data characterization and fitting for Markov modeling., , and . Perform. Eval., 67 (2): 61-79 (2010)Special Issue on "Quantitative Evaluation of SysTems" (QEST 2012)., , and . Perform. Eval., (2014)Optimal Number of Nodes for Computation in Grid Environments., , , and . PDP, page 282-289. IEEE Computer Society, (2004)Java Modelling Tools: an Open Source Suite for Queueing Network Modelling andWorkload Analysis., , and . QEST, page 119-120. IEEE Computer Society, (2006)BURN: Enabling Workload Burstiness in Customized Service Benchmarks., , , and . IEEE Trans. Software Eng., 38 (4): 778-793 (2012)CoMoM: Efficient Class-Oriented Evaluation of Multiclass Performance Models.. IEEE Trans. Software Eng., 35 (2): 162-177 (2009)Estimating Computational Requirements in Multi-Threaded Applications., , and . IEEE Trans. Software Eng., 41 (3): 264-278 (2015)Injecting realistic burstiness to a traditional client-server benchmark., , , and . ICAC, page 149-158. ACM, (2009)An efficient algorithm for the exact analysis of multiclass queueing networks with large population sizes.. SIGMETRICS/Performance, page 169-180. ACM, (2006)Tulsa: A Tool for Transforming UML to Layered Queueing Networks for Performance Analysis of Data Intensive Applications., , , , and . QEST, volume 10503 of Lecture Notes in Computer Science, page 295-299. Springer, (2017)