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Marco Argenti thesis .pdf

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Performance Measurement of Heterogeneous Workflow Engines
Master’s Thesis submitted to the
Faculty of Informatics of the Università della Svizzera Italiana
in partial fulfillment of the requirements for the degree of
Master of Science in Informatics
Faculty of Ingegneria dell’Informazione of the Politecnico di Milano
in partial fulfillment of the requirements for the degree of
Laurea Magistrale in Ingegneria Informatica

presented by

Marco Argenti
ID number at Università della Svizzera Italiana : 13980115
ID number at Politecnico di Milano: 798165

under the supervision of

Prof. Cesare Pautasso
co-supervised by

Vincenzo Ferme
at Università della Svizzera Italiana

under the supervision of

Prof. Barbara Pernici
at Politecnico di Milano
September 2015
Accademic Year 2014/2015

I certify that except where due acknowledgement has been given, the work presented in this
thesis is that of the author alone; the work has not been submitted previously, in whole or in
part, to qualify for any other academic award; and the content of the thesis is the result of work
which has been carried out since the official commencement date of the approved research program.

Marco Argenti
Lugano, 11 September 2015


To my beloved



If today were the last day of my life,
would I want to do what I am about to do
The only way to do great work is to love
what you do.
Don’t settle.
You have to trust that the dots will
somehow connect in your future.
Steve Jobs, conference at Stanford



Nowadays companies formalize their business processes to maximize their efficiency and effectiveness. Workflows are business processes with components that automate companies’
processes and the workflow executions are managed by the Workflow Management System
(WfMS). In the last years the number of WfMSs, and in particular the WfMSs supporting the
latest version of Business Process Model and Notation (BPMN 2.0), has increased. Even if a
benchmark of WfMS BPMN 2.0 is recognized as necessary and similar tools for benchmarking
WfMSs exist, a benchmark of WfMS BPMN 2.0 has still not been developed. In this context,
the BenchFlow project has the goal to be the first BPMN 2.0 WfMS benchmark. The BenchFlow
framework is formed by a set of services and its components are: the driver, the collector, the
monitor, the data cleaner and reconciler and the performance meter and data aggregator.
This thesis is a contribution to the BenchFlow project and it focuses on the design, implementation and evaluation of the data cleaner and reconciler and of the performance meter and
data aggregator. Additionally, in this thesis, WfMS metrics are defined employing the Software
Measure Definition Method; Processes Completion Time, Number of Completed Processes and
Number of Uncompleted Processes metrics are implemented in the performance meter and data
aggregator. Finally, to prove that the application of the two tools developed is feasible, as proof
of concept, load tests are performed on two WfMSs and the implemented WfMS metrics are
applied to compare their performance.
Thus, the main contributions of this thesis to the research community are the creation of two
tools, one that standardizes data from all the source databases of different WfMSs, and one
that aggregates stored data to obtain information about WfMS BPMN 2.0 metrics, belonging
to the BenchFlow framework, and their application on one trial experiment run as a proof of


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