348 research outputs found
Weaving Rules into [email protected] for Embedded Smart Systems
Smart systems are characterised by their ability to analyse measured data in
live and to react to changes according to expert rules. Therefore, such systems
exploit appropriate data models together with actions, triggered by
domain-related conditions. The challenge at hand is that smart systems usually
need to process thousands of updates to detect which rules need to be
triggered, often even on restricted hardware like a Raspberry Pi. Despite
various approaches have been investigated to efficiently check conditions on
data models, they either assume to fit into main memory or rely on high latency
persistence storage systems that severely damage the reactivity of smart
systems. To tackle this challenge, we propose a novel composition process,
which weaves executable rules into a data model with lazy loading abilities. We
quantitatively show, on a smart building case study, that our approach can
handle, at low latency, big sets of rules on top of large-scale data models on
restricted hardware.Comment: pre-print version, published in the proceedings of MOMO-17 Worksho
Summary of the 12th international workshop on [email protected]
This year the 12th edition of the workshop [email protected] was held at the 20th International Conference on Model Driven Engineering Languages and Systems. The workshop took place in the city of Austin, Texas, USA, on the 18th of September 2017. The workshop was organized by Sebastian Götz, Nelly Bencomo, Kirstie Bellman and Gordon Blair. Here, we present a summary of the workshop and a synopsis of the topics discussed and highlighted during the workshop
Summary of the 10th International workshop on [email protected]
The 10th anniversary of the workshop [email protected] was held at the 18th International Conference on Model Driven Engineering Languages and Systems. The workshop took place in the city of Ottawa, Canada, on the 29th of September 2015. The workshop was organized by Sebastian Gtz, Nelly Bencomo, Gordon Blair and Hui Song. Here, we present a summary of the discussions at the workshop and a synopsis of the topics discussed and highlighted during the workshop. The workshop received the award for the best workshop at the MODELS 2015 conference out of 18 workshops in total. The award was based upon the organization, program, web site timing and the feedback provided by the workshop participants
Summary of the 11th international workshop on [email protected]
After last years anniversary, this year the 11th edition of the workshop [email protected] was held at the 19th International Conference on Model Driven Engineering Languages and Systems. The workshop took place in the city of Saint Malo, France, on the 4th of October 2016. The workshop was organized by Sebastian Götz, Nelly Bencomo, Kirstie Bellman and Gordon Blair. Here, we present a summary of the discussions at the workshop and a synopsis of the topics discussed and highlighted during the workshop
Summary of the 9th Workshop on [email protected]
The [email protected] workshop (MRT) series offers a discussion forum for the rising need to leverage modeling techniques at runtime for the software of the future. MRT has become a mature research topic, which is, e.g., reflected in separate sessions at conferences covering MRT approaches only. The target venues of the workshops audience changed from workshops to conferences. Hence, new topics in the area of MRT need to be identified, which are not yet mature enough for conferences. In consequence, the main goal of this edition was to reflect on the past decade of the workshop's history and to identify new future directions for the workshop
Non-human Modelers:Challenges and Roadmap for Reusable Self-explanation
Increasingly, software acts as a “non-human modeler” (NHM), managing a model according to high-level goals rather than a predefined script. To foster adoption, we argue that we should treat these NHMs as members of the development team. In our GrandMDE talk, we discussed the importance of three areas: effective communication (self-explanation and problem-oriented configuration), selection, and process integration. In this extended version of the talk, we will expand on the self-explanation area, describing its background in more depth and outlining a research roadmap based on a basic case study
Towards a Model-Based Serverless Platform for the Cloud-Edge-IoT Continuum
One of the most prominent implementations of the serverless programming model is Function-as-a-Service (FaaS). Using FaaS, application developers provide source code of serverless functions, typically describing only parts of a larger application, and define triggers for executing these functions on infrastructure components managed by the FaaS provider. There are still challenges that hinder the wider adoption of the FaaS model across the whole Cloud-Edge-IoT continuum. These include the high heterogeneity of the Edge and IoT infrastructure, vendor lock-in, the need to deploy and adapt serverless functions as well as their supporting services and software stacks into their cyber-physical execution environment. As a first step towards addressing these challenges, we introduce the SERVERLEss4I0T platform for the design, deployment, and maintenance of applications over the Cloud-Edge-IoT continuum. In particular, our platform enables the specification and deployment of serverless functions on Cloud and Edge resources, as well as the deployment of their supporting services and software stacks over the whole Cloud-Edge-IoT continuum.acceptedVersio
mRUBiS: An Exemplar for Model-Based Architectural Self-Healing and Self-Optimization
Self-adaptive software systems are often structured into an adaptation engine
that manages an adaptable software by operating on a runtime model that
represents the architecture of the software (model-based architectural
self-adaptation). Despite the popularity of such approaches, existing exemplars
provide application programming interfaces but no runtime model to develop
adaptation engines. Consequently, there does not exist any exemplar that
supports developing, evaluating, and comparing model-based self-adaptation off
the shelf. Therefore, we present mRUBiS, an extensible exemplar for model-based
architectural self-healing and self-optimization. mRUBiS simulates the
adaptable software and therefore provides and maintains an architectural
runtime model of the software, which can be directly used by adaptation engines
to realize and perform self-adaptation. Particularly, mRUBiS supports injecting
issues into the model, which should be handled by self-adaptation, and
validating the model to assess the self-adaptation. Finally, mRUBiS allows
developers to explore variants of adaptation engines (e.g., event-driven
self-adaptation) and to evaluate the effectiveness, efficiency, and scalability
of the engines
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