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Infrastructure as runtime models: Towards Model-Driven resource management

Filip Krikava, Romain Rouvoy, Lionel Seinturier
2015 2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS)  
A key benefit of using such models@run.time representation is that it provides a uniform semantic foundation for resources monitoring and reconfiguration.  ...  done manually and require to use different tools.  ...  While, there has been some preliminary work using model@run.time to target parts of specific infrastructures [9] , [10] , we rely on model@run.time to integrate various monitoring and management interfaces  ... 
doi:10.1109/models.2015.7338240 dblp:conf/models/KrikavaRS15 fatcat:g73nreua3bec7m3q62taw7n5by

Contextualised Security Operation Deployment Through MDS@run.time Architecture [chapter]

Wendpanga Francis Ouedraogo, Frédérique Biennier, Philippe Merle
2015 Lecture Notes in Computer Science  
To fit this context aware protection deployment challenge, we propose a MDS@run.time architecture, coupling Model Driven Security (MDS) and Models@run.time approaches.  ...  The fast development of Cloud-based services and applications have a significant impact on Service Oriented Computing as it provides an efficient support to share data and processes.  ...  (authentication, access to data or service, data modification/destruction, etc.). This information can then be used for auditing and monitoring.  ... 
doi:10.1007/978-3-319-22885-3_18 fatcat:gt5zcnrydncmveihrlqcasb7fy

Towards a Monitoring Middleware for Cloud Services

Priscila Cedillo, Javier Jimenez-Gomez, Silvia Abrahao, Emilio Insfran
2015 2015 IEEE International Conference on Services Computing  
Cloud Computing; Software as a Service; Monitoring; Middleware; Quality of Service; Models@run.time I.  ...  Many organizations are currently adopting the use of services that are hosted in the cloud by employing the Software as a Service (SaaS) model.  ...  ACKNOWLEDGMENT This research is supported by the Value@Cloud project (TIN2013-46300-R); the Scholarship Program Senescyt -Ecuador; University of Cuenca -Ecuador; and the Microsoft Azure for Research Award  ... 
doi:10.1109/scc.2015.68 dblp:conf/IEEEscc/CedilloJAI15 fatcat:je3rrse6xrfkjigisk57xyrvzi

Summary of the 6th International Workshop on Models@run.time [chapter]

Nelly Bencomo, Gordon Blair, Robert France, Betty H. C. Cheng, Cédric Jeanneret
2012 Lecture Notes in Computer Science  
The 8th edition of the workshop Models@run.time was held at the 16th International Conference MODELS. The workshop took place in the city of Miami, USA, on the 29th of September 2013.  ...  User: Developers use models to understand the design and the running system. Properties: Descriptive; there are trace links between model elements and runtime elements.  ...  Introduction The Models@run.time workshop series provides a forum for exchange of ideas on the use of run-time models.  ... 
doi:10.1007/978-3-642-29645-1_16 fatcat:qnksezsiurgcdfne3f4hiaamxq

Summary of the 5th International Workshop on Models@run.time [chapter]

Nelly Bencomo, Gordon Blair, Franck Fleurey, Cédric Jeanneret
2011 Lecture Notes in Computer Science  
The 8th edition of the workshop Models@run.time was held at the 16th International Conference MODELS. The workshop took place in the city of Miami, USA, on the 29th of September 2013.  ...  User: Developers use models to understand the design and the running system. Properties: Descriptive; there are trace links between model elements and runtime elements.  ...  Introduction The Models@run.time workshop series provides a forum for exchange of ideas on the use of run-time models.  ... 
doi:10.1007/978-3-642-21210-9_20 fatcat:bht3hpvduzhobpwhc24usinbre

Generic cloud platform multi-objective optimization leveraging models@run.time

Donia El Kateb, François Fouquet, Grégory Nain, Jorge Augusto Meira, Michel Ackerman, Yves Le Traon
2014 Proceedings of the 29th Annual ACM Symposium on Applied Computing - SAC '14  
Our approach is two-fold: 1) To reason about a cloud environment, we use a Models@run.time approach to have an abstraction layer of a cloud configuration that supports monitoring capabilities and represents  ...  This paper aims at proposing a generic approach to build cloud optimization by combining modeling and search based paradigms.  ...  We model a cloud supervised infrastructure using Kevoree, a models@run.time [24] platform that simulates possible space of cloud reconfigurations and adaptations.  ... 
doi:10.1145/2554850.2555044 dblp:conf/sac/KatebFNMAT14 fatcat:nw3yzr2sh5bc5bu63fgxk4xm24

Summary of the 7th International Workshop on Models@run.time

Nelly Bencomo, Gordon Blair, Sebastian Götz, Brice Morin, Bernhard Rumpe
2012 Proceedings of the 7th Workshop on Models@run.time - MRT '12  
The 8th edition of the workshop Models@run.time was held at the 16th International Conference MODELS. The workshop took place in the city of Miami, USA, on the 29th of September 2013.  ...  User: Developers use models to understand the design and the running system. Properties: Descriptive; there are trace links between model elements and runtime elements.  ...  Introduction The Models@run.time workshop series provides a forum for exchange of ideas on the use of run-time models.  ... 
doi:10.1145/2422518.2422519 dblp:conf/models/BencomoBGMR12 fatcat:fg24nrvn3nayvljmcxfxn24muy

Continuous Deployment of Trustworthy Smart IoT Systems

Nicolas Ferry, Phu H. Nguyen, Hui Song, Erkuden Rios, Eider Iturbe, Satur Martinez, Angel Rego
2020 Journal of Object Technology  
By leveraging the Models@run.time approach, the same language and tool are used for the continuous deployment of SIS (including the monitoring of the deployment progressi.e., monitoring if hosts are still  ...  and (ii) a models@run.time engine to enact the orchestration, deployment, and adaptation of these SIS.  ...  Our engine is a typical implementation of the Models@run.time pattern.  ... 
doi:10.5381/jot.2020.19.2.a16 fatcat:2s43wrhgo5bpbf5rjnjpahaycu

Architectural Stability Reasoning using Self-Awareness Principles: Case of Self-Adaptive Cloud Architectures [article]

Maria Salama, Rami Bahsoon, Rajkumar Buyya
2019 arXiv   pre-print
We evaluate the proposed work using the case of cloud architectures for its highly dynamics during runtime.  ...  As architectures have a profound effect on the life-span of the software and the provisioned quality of service, stable architectures are significant assets.  ...  Acknowledgments We would like to thank Abdessalam Elhabbash for useful discussions on selfawareness, Rafik Salama for online learning inspiration, and David Parker for the support on PRISM-games.  ... 
arXiv:1912.06469v1 fatcat:jcvgtsclszdafdcmfimadnsqpu

A Reference Architecture and Modelling Principles for Architectural Stability based on Self-Awareness: Case of Cloud Architectures [article]

Maria Salama, Rami Bahsoon, Rajkumar Buyya
2019 arXiv   pre-print
To illustrate the applicability and evaluate the proposed approach, we consider the case of cloud architectures.  ...  In this paper, we introduce a reference architecture and model for stability.  ...  Goals Modelling Related work, geared towards runtime requirements modelling, are "models@run.time" and "selfexplanation".  ... 
arXiv:1912.05517v1 fatcat:syifrxlabngalmgo43tjqlsgj4

Privacy Aware on-Demand Resource Provisioning for IoT Data Processing [chapter]

Tom Kirkham, Arnab Sinha, Nikos Parlavantzas, Bartosz Kryza, Paul Fremantle, Kyriakos Kritikos, Benjamin Aziz
2016 Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering  
to effectively use the Cloud in a privacy protecting way.  ...  To enable this work from the PaaSage project [12] into the Cloud modelling language is applied to IoT networks to enable standardised management of IoT and Cloud integration and enable edge processing  ...  Managing Adaptability CAMEL supports monitoring and scalability information in the deployment model and this is used to trigger dynamic adaptation.  ... 
doi:10.1007/978-3-319-47075-7_11 fatcat:uo2rnp5lvjglrmgyssm2k4wm4y

Context-Aware Personalization for Smart Mobile Cloud Services [chapter]

Waldemar Hummer, Stefan Schulte
2016 Lecture Notes in Computer Science  
In this paper, we present an approach for intelligent service clouds to cater for the new challenges associated with complex context-aware applications.  ...  Based on an illustrative scenario from the connected car domain, we introduce a detailed system model and approach for context-based personalization of mobile services.  ...  [22] uses models@run.time techniques for contextualized deployment of security policies in intelligent service clouds.  ... 
doi:10.1007/978-3-662-50539-7_14 fatcat:p4zepofivzgzjcameyfwo7xeem

Lifecycle management of service-based applications on multi-clouds

George Baryannis, Panagiotis Garefalakis, Kyriakos Kritikos, Kostas Magoutis, Antonis Papaioannou, Dimitris Plexousakis, Chrysostomos Zeginis
2013 Proceedings of the 2013 international workshop on Multi-cloud applications and federated clouds - MultiCloud '13  
In this paper we identify current challenges in the deployment of complex distributed applications on multiple Cloud providers and review the state of the art in model-driven Cloud software engineering  ...  ; lack of lifecycle management of Cloud applications; inadequate cross-layer monitoring and adaptation based on event correlation; and others.  ...  There is significant similarity in the terminology and models used across these libraries. Monitoring and Adaptation.  ... 
doi:10.1145/2462326.2462331 fatcat:gx3uuhpto5hkpm67wglhviccq4

Towards flexible and secure end-to-end communication in industry 4.0

Silia Maksuti, Ani Bicaku, Markus Tauber, Silke Palkovits-Rauter, Sarah Haas, Jerker Delsing
2017 2017 IEEE 15th International Conference on Industrial Informatics (INDIN)  
In this position paper, we design a meta-model and use it as a tool to describe an end-to-end communication use case from an ongoing research project.  ...  To identify and document the self-adaptation points in a structured methodological and lightweight way we use the bespoken meta-model.  ...  The microservices in the cloud backend than analyse and process this data to provide tailor-made individualized services.  ... 
doi:10.1109/indin.2017.8104888 dblp:conf/indin/MaksutiBTPHD17 fatcat:6gd4g3wssbdrdaliyv44q5tb6y

Self-adaptive Systems Driven by Runtime Models

Marcello Thiry, Roger A. Schmidt
2017 Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering  
Keywords-Self-Adaptive System; Runtime Model; Model-Driven Software Engineering; Systematic Literature Review I.  ...  The objective of this article is to present relevant approaches of self-adaptive systems driven by runtime models.  ...  mde", "mdse", "mdd" S = Runtime Models "models at runtime", "models@runtime", "models@run.time", "models for runtime", "runtime models" Result (P ˅ Q ˅ S) IV.  ... 
doi:10.18293/seke2017-168 dblp:conf/seke/ThiryS17 fatcat:ycfrash6f5c2dftyupvbellqde
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