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logseq/pages/MeSS23_paper_3.md
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type:: REVIEWS tags:: #Digital Twin COMPUTE CONTINUUM year:: 2023 venue:: STAF full-title:: Modeling Urban Digital Twins over the Cloud-to-Thing Continuum date-start:: 10-06-2023 - 09:09 date-submitted:: 10-06-2023 external-links:: status:: DONE deadline-submission:: 10-06-2023 file:: MeSS23_paper_3.pdf

- [[Highlights]]
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		- For doing what?
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		- What are you distributing?
			- The management, creation, updated of the models with the corresponding phisycal counterparts?
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		- Where?
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		- Is it because the city of Malaga presents some peculiarities for the proposed approach?
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		- At this point of the paper it is still unclear what the authors plan to do with the proposed metamodel. The city of Malaga already provides real time data about the city...
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				- This makes sense if data are anonymized....
		- This comes from the github repository
			- https://github.com/atenearesearchgroup/public-transport-system-dt/raw/main/assets/clock360.png?raw=true
				- Indeed it is interesting even though some more advanced visualization is needed.
				- There are many technologeis for creating dashboards showing data from IoT systems. What's the need/benefits of using UML models for this?
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		- What are the benefits of the proposed metamodel? You have already different realtime data made available by the city of Malaga. I'm still missing the point!
			- I think it is possible to answer this questions in different manners.
		- The Continuum aspect is not elaborated in the proposed solution. I can see it in the considered context, but for instance it is not clear what the authors have distributed and if such a distribution can change at runtime or if it static (ie. decided and fixed at runtime)
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				- In this respect, the previous sentence is generic.
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				- How is this advancing the state of the art?
- [[Comments]]
	- The paper presents a metamodel, and corresponding supporting tool, for managing urban digital twins. The metamodel contains the modeling constructs for specifying public bus vehicles, connected with passengers. The authors have implemented the metamodel in the USE tool and created run-time instances by importing real-time data made available by the city of Malaga. Analysis and predictions have been developed on the consumed models.
	- The paper is about an interesting topic and it is appropriate for the event. My main concerns are related to the novelty of the work and the unclear description of the strengths of the proposed approach. In particular, the authors should clarify the following aspects:
		- Despite the general benefit of introducing cloud-to-thing continuum in the considered context, what are the authors distributing? Is it the management of the different instances of the proposed metamodel? Can such a distribution change at runtime for instance depending on the actual resource availability? Otherwise is the considered distribution static (i.e., decided and fixed at deployment time)?
		- What are the benefits of the proposed metamodel? You have already different real-time data made available by the city of Malaga.
		- Following the previous point, there are many technologies for creating dashboards or for showing real-time data from IoT systems. What are the needs/benefits of using UML models for this?
	- To summarize, even though I can see some benefits of the proposed approach, the paper does not highlight any of them. Consequently, the novelty of the paper appears to be limited even though it has some potential to trigger interesting discussions during the event.
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