integrating research grade model indexing technologies to commercial modelling tools: feedback and...
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1Integrating research grade model indexing technologies to commercial modelling tools: feedback and benchmarks
Integrating research grade model indexing technologies to commercial
modelling tools: feedback and benchmarks
Marcos Almeida, Antonin Abhervé, Alessandra Bagnato SOFTEAM – France
Antonio García-Domínguez, Konstantinos Barmpis UoY– UK
May 2016 – Paris - ICSSEA
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Modelio for Software and System Engineering
• UML editor with 20 years’ history• SysML• MARTE• UTP• Code generation• Documentation• Teamwork
• Available under open source at Modelio.org!
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The MONDO Project MONDO is a STREP FP7 EU project Start: 11/2013 End: 4/2016 Total cost: 3.7M€
Challenges: Model management languages struggle with models
containing more than a few 100Ks model elements XMI is great for interoperability but its performance
is poor There is little guidance on designing large DSLs /
DSLs for large models
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Partner rolesUse Cases, requirements validation
Ikerlan (ES) Softeam (FR) Soft-Maint (FR) UNINOVA (PT)
Dissemination and industry standards
Open Group (UK)
Technology providers Softeam (FR) UNINOVA (PT)
Research/development ARMINES (FR) Auton. Univ of Madrid (ES) Budapest University of Technology and
Economics (HU) Univ of York (UK)
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From a single model to a constellation of models
Enterprise level project management
Project catalog Fragments organization Inter-projects links Versions and variants
Communication– Reports generation– Project dashboard– News and activity feeds
Shared model repository
– SVN Model Fragment repository
– RAMC Model Fragment repository
– HTTP Model Fragment repository
Constellation main features
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Videos on Modelio & Constellation
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Goals Before Mondo
Constellation knows model fragments by their names.
We did not have efficient tools dedicated to querying Models.
After Mondo We looked for a way to
know the content and organization of all elements in model fragments.
We looked for a way to query all of our models.
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Objectives Evaluate MONDO technologies within
Modelio Supporting large and complex model
repositories (sets of models) Supporting large collaborating teams
Should: Implement a demonstrator Document experiences gained
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Measures to evaluate Capability of MONDO to provide a user
friendly interface for managing ModelToModel transformations ModelToText transformations.
Capability of MONDO to provide scalable execution of transformation information.
Capability of MONDO to provide scalable execution of queries.
Capability of MONDO to provide an improved collaborative environment.
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Hawk A heterogeneous model indexing
framework.
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Hawk - Constellation Integration Integrated architecture
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Hawk - Constellation : Results Integration of Hawk query engine to
constellation. Capability to execute
queries on all of our models Provide an holistic view of
the composition of our repositories
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Hawk - Constellation : Results Introducing Statistics based on all our
models of repositories. Implemented using specific Hawk
queries
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Hawk - Constellation : Results Capability to provide an improved
collaborative environment. Ex : Help customer to compose a project in
constellation using Hawk query to filter available fragments,…
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Video on Constellation integration
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Benchmarks Hawk space use & indexing time Model to Text transformations
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Benchmark architecture
ModelioEclipse
ModelGenerator
HawkHawk local resource
Index
Model Repository
Model
EGL Transformation
Output File
DocumentGenerator
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Benchmarks: Hawk space use & indexing time – 1/2
Model repository 3.44 GB / 1,239,829 model elements 1M model elements of many different types Modelio
cannot load it Generated models
From 1K elements to 1M elements (most typical types: Class, Packages, Operations etc.)
Environment Machine: Dual core 2.7 GHz / 8GB RAM Dell Notebook
• This is more about trends than absolute numbers! Modelio 3.4.1b Hawk 1.0.0.201602181354
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Benchmarks: Hawk space use & indexing time – 2/2
Questions Is storage space and indexing time linear?
• How does it compare to Modelio storage space linearity?
How long does it take to index huge models?
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Results – Generated models - Trends Disk space grows linearly (good sign!) Growth is less steep than Modelio’s
Hawk tends to require less space for very big models.
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Results – Generated models - Trends Indexing time grows linearly (good sign!) Even if indexing may take a lot of time,
re-indexing is quite fast. On a later version, indexing is 25x faster!
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Results – Model repository Indexing time
4 days and 2 hours• Remember: Modelio can’t handle all these
models at the same time!! Update time
26 min• Still good for back-end tasks, like computing
stats, generating docs, etc.
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Results – Model repository – on a later version
Indexing time 5 hours 14 minutes (yes, 18x faster!)
• Helped optimizing Hawk for models composed of lots of small files.
Update time 50 s
• Quite good for collaborative scenarios!
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Model to Text transformations Document generation task (Markdown) Implemented in
MONDO: EGL (Epislon Generation Language)
Modelio: Jython
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Results – M2T Here’s where the use of MONDO
technologies pays the most Hawk + EGL 175 to 602 times faster than
Modelio~3.3h
~19s
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Video on Hawk indexing and Model to text
transformations
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Specific measures – Full complianceMeasure ConclusionsTime improvement for change propagation and notification among concurrent users
Re-indexing time under 5ms
Time improvement percentage on query execution
Queries on document generation from 6 to 700 times faster than
Modelio DesktopTime improvement percentage on the execution of transformations for text generation
Document generation from 6 to 700 times faster than Modelio
DesktopTime improvement percentage on the execution of transformations for model generation
● Generation 2-17 times faster than Desktop Modelio on a well configured server and moderately large models
● Provides functionality that was not available in Constellation before
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Conclusion Hawk provides us a way to index all
our model fragment whatever their hosting technology.
Hawk provides a powerful query engine which allow us to know the content of our model fragment on Constellation side.
Packaged as JAR, the integration of Hawk to our commercial tool was easy.
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Further enhancements Improvements
MONDO collaboration tools should support other modelling technologies besides EMF.
Future plans MEASURE collaboration CloudATL (model to model transformations
tool) integration to Constellation
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Questions ?
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