Reference : Stream my Models: Reactive Peer-to-Peer Distributed Models@run.time

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/22329

Title :	Stream my Models: Reactive Peer-to-Peer Distributed Models@run.time
Language :	English
Author, co-author :	Hartmann, Thomas [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Moawad, Assaad [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Fouquet, François [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Nain, Grégory [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Klein, Jacques [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Le Traon, Yves [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	Sep-2015
Main document title :	2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS)
Editor :	Lethbridge, Timothy
	Cabot, Jordi
	Egyed, Alexander
Publisher :	Conference Publishing Consulting
Pages :	80-89
Peer reviewed :	Yes
On invitation :	No
Audience :	International
ISBN :	978-1-4673-6907-7
City :	Passau
Country :	Germany
Event name :	ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS)
Event date :	30-09-2015 to 02-10-2015
Event organizer :	University of Ottawa, Canada
Event place (city) :	Ottawa
Event country :	Canada
Keywords :	[en] Models@run.time ; Distributed models ; Reactive programming ; Asynchronous programming ; Peer-to-peer
Abstract :	[en] The models@run.time paradigm promotes the use of models during the execution of cyber-physical systems to represent their context and to reason about their runtime behaviour. However, current modeling techniques do not allow to cope at the same time with the large-scale, distributed, and constantly changing nature of these systems. In this paper, we introduce a distributed models@run.time approach, combining ideas from reactive programming, peer-to-peer distribution, and large-scale models@run.time. We define distributed models as observable streams of chunks that are exchanged between nodes in a peer-to-peer manner. lazy loading strategy allows to transparently access the complete virtual model from every node, although chunks are actually distributed across nodes. Observers and automatic reloading of chunks enable a reactive programming style. We integrated our approach into the Kevoree Modeling Framework and demonstrate that it enables frequently changing, reactive distributed models that can scale to millions of elements and several thousand nodes.
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/10993/22329

	File(s) associated to this reference
	Fulltext file(s): File Commentary Version Size Access Open access models15-author-preprint-13072015.pdf Author preprint 705.88 kB View/Open

All documents in ORBi^lu are protected by a user license.

 

University of Luxembourg Library |  Feedback |  Legal notices Site Map