@demo {2018:icsoc:demo:electra,
	title = {ELeCTRA: induced usage limitations calculation in RESTful APIs},
	year = {2018},
	month = {November},
	publisher = {Springer},
	address = {Hangzhou, Zhejiang, China},
	abstract = {As software architecture design is evolving to microservice paradigms, RESTful APIs become the building blocks of applications. In such a scenario, a growing market of APIs is proliferating and developers face the challenges to take advantage of this reality. For an example, third-party APIs typically define different usage limitations depending on the purchased Service Level Agreement (SLA) and, consequently, do- ing a manual limitation analysis of external APIs and their impact in a microservice architecture is a complex and tedious task. In this demonstration paper, we present ELeCTRA, a tool to automate the analysis of induced limitations in an API, derived from its usage of external APIs with limitations. Specifically, this tools takes the structural, conversational and SLA specifications of the API, generates a visual dependency graph and translates the problem into a constraint satisfaction optimization problem (CSOP) to obtain the optimal usage limitations.},
	keywords = {API, demo, REST},
	author = {Antonio Gamez-Diaz and Pablo Fernandez and Cesare Pautasso and Ana Ivanchikj and Antonio Ruiz-Cortes}
}
@conference {benchflow:2016:bpm,
	title = {Estimating the Cost for Executing Business Processes in the Cloud},
	booktitle = {BPM Forum},
	year = {2016},
	month = {September},
	pages = {72--88},
	publisher = {Springer},
	organization = {Springer},
	address = {Rio de Janeiro, Brazil},
	abstract = {Managing and running business processes in the Cloud changes how Workflow Management Systems (WfMSs) are deployed. Consequently, when designing such WfMSs, there is a need of determining the sweet spot in the performance vs. resource consumption trade-off. While all Cloud providers agree on the pay-as-you-go resource consumption model, every provider uses a different cost model to gain a competitive edge. In this paper, we present a novel method for estimating the infrastructure costs of running business processes in the Cloud. The method is based on the precise measurement of the resources required to run a mix of business process in the Cloud, while accomplishing expected performance requirements. To showcase the method we use the BenchFlow framework to run experiments on a widely used open-source WfMS executing custom workload with a varying number of simulated users. The experiments are necessary to reliably measure WfMS{\textquoteright}s performance and resource consumption, which is then used to estimate the infrastructure costs of executing such workload on four different Cloud providers.},
	keywords = {BenchFlow, cloud computing, cloud workflows},
	doi = {10.1007/978-3-319-45468-9_5},
	author = {Vincenzo Ferme and Ana Ivanchikj and Cesare Pautasso}
}
