fUML-Driven Design and Performance Analysis of Software Agents for Wireless Sensor Network

Berardinelli, Luca; Marco, Antinisca Di; Pace, Stefano

doi:10.1007/978-3-319-09970-5_28

Cited by 3 publications

(10 citation statements)

References 15 publications

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“…The extension of simulation/analysis capabilities of fUML can be realized in three different ways: i) by providing fUML model libraries, as we did in this work and in [13,24], ii) by modifying the fUML VM [5]), and iii) by translational approaches to external notations and tools, as done in [9]). …”

Section: Related Workmentioning

confidence: 99%

“…In fact, this work is part of an ongoing, broader research effort ( [9,13,24]) that aims at integrating fUML and non-functional analysis methodologies by providing ad hoc model libraries.…”

Section: Related Workmentioning

confidence: 99%

“…In [24] we proposed the Agilla Modeling Framework (AMF), i.e., an executable fUML model library to conveniently design agent-based software applications for WSN.…”

Section: Related Workmentioning

confidence: 99%

“…In [13,24] we explicitly avoid translational approaches by embedding the analysis algorithms within the fUML through executable model libraries. In [24] we proposed the Agilla Modeling Framework (AMF), i.e., an executable fUML model library to conveniently design agent-based software applications for WSN.…”

Section: Related Workmentioning

confidence: 99%

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Performance Antipattern Detection through fUML Model Library

Arcelli

Berardinelli

Trubiani

2015

Proceedings of the 2015 Workshop on Challenges in Performance Methods for Software Development

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Identifying performance problems is critical in the software design, mostly because the results of performance analysis (i.e., mean values, variances, and probability distributions) are difficult to be interpreted for providing feedback to software designers. Performance antipatterns support the interpretation of performance analysis results and help to fill the gap between numbers and design alternatives.In this paper, we present a model-driven framework that enables an early detection of performance antipatterns, i.e., without generating performance models. Specific design features (e.g., the number of sent messages) are monitored while simulating the specified software model, in order to point out the model elements that most likely contribute for performance flaws. To this end, we propose to use fUML models instrumented with a reusable library that provides data structures (as Classes) and algorithms (as Activities) to detect performance antipatterns while simulating the fUML model itself. A case study is provided to show our framework at work, its current capabilities and future challenges.

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Section: Related Workmentioning

confidence: 99%

“…In fact, this work is part of an ongoing, broader research effort ( [9,13,24]) that aims at integrating fUML and non-functional analysis methodologies by providing ad hoc model libraries.…”

Section: Related Workmentioning

confidence: 99%

“…In [24] we proposed the Agilla Modeling Framework (AMF), i.e., an executable fUML model library to conveniently design agent-based software applications for WSN.…”

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Performance Antipattern Detection through fUML Model Library

Arcelli

Berardinelli

Trubiani

2015

Proceedings of the 2015 Workshop on Challenges in Performance Methods for Software Development

Self Cite

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“…For this aim i) we extend the Agilla Instruction Set with the new battery instruction able to sense at run-time the battery of a WSN node; ii) we measure the energy that the execution of each Agilla instruction consumes on a target platform; and iii) we extend the Agilla Modeling Framework (AMF) [1,2] with a new analysis that, leveraging on the conducted energy consumption measurements, predicts the energy required by the Agilla agents running on the WSN. AMF is an executable model library we implemented to model and analyze Agilla based applications running on WSN.…”

Section: Introductionmentioning

confidence: 99%

Energy Consumption Analysis and Design of Energy-Aware WSN Agents in fUML

Berardinelli

Marco

Pace

et al. 2015

Modelling Foundations and Applications

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Wireless Sensor Networks (WSN) are nowadays applied to a wide set of domains (e.g., security, health). WSN are networks of spatially distributed, radio-communicating, battery-powered, autonomous sensor nodes. WSN are characterized by scarcity of resources, hence an application running on them should carefully manage its resources. The most critical resource in WSN is the nodes' battery.In this paper, we propose model-based engineering facilities to analyze the energy consumption and to develop energy-aware applications for WSN that are based on Agilla Middleware. For this aim i) we extend the Agilla Instruction Set with the new battery instruction able to retrieve the battery Voltage of a WSN node at run-time; ii) we measure the energy that the execution of each Agilla instruction consumes on a target platform; and iii) we extend the Agilla Modeling Framework with a new analysis that, leveraging the conducted energy consumption measurements, predicts the energy required by the Agilla agents running on the WSN. Such analysis, implemented in fUML, is based on simulation and it guides the design of WSN applications that guarantee low energy consumption. The approach is showed on the Reader agent used in the WildFire Tracker Application.

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DevOps and WSN App

Marco

2017

Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion

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fUML-Driven Design and Performance Analysis of Software Agents for Wireless Sensor Network

Cited by 3 publications

References 15 publications

Performance Antipattern Detection through fUML Model Library

Performance Antipattern Detection through fUML Model Library

Energy Consumption Analysis and Design of Energy-Aware WSN Agents in fUML

DevOps and WSN App

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