logo EDITE Amel BENNACEUR
Identité
Amel BENNACEUR
État académique
Thèse soutenue le 2013-07-18
Sujet: Synthèse dynamique de connecteurs pour les réseaux ubiquitaires
Direction de thèse:
Laboratoire:
Voisinage
Ellipse bleue: doctorant, ellipse jaune: docteur, rectangle vert: permanent, rectangle jaune: HDR. Trait vert: encadrant de thèse, trait bleu: directeur de thèse, pointillé: jury d'évaluation à mi-parcours ou jury de thèse.
Productions scientifiques
oai:hal.archives-ouvertes.fr:inria-00586638
The CONNECT Architecture
Current solutions to interoperability remain limited with respect to highly dynamic and heterogeneous environments, where systems encounter one another spontaneously. In this chapter, we introduce the Connect architecture, which puts forward a fundamentally different method to tackle the interoperability problem. The philosophy is to observe networked systems in action, learn their behaviour and then dynamically generate mediator software which will connect two heterogeneous systems. We present a high-level overview of how Connect operates in practice and subsequently provide a simple example to illustrate the architecture in action.
11th International School on Formal Methods for the Design of Computer, Communication and Software Systems: Connectors for Eternal Networked Software Systemsscientific book chapter 2011
oai:hal.archives-ouvertes.fr:inria-00586630
Middleware-layer Connector Synthesis: Beyond State of the Art in Middleware Interoperability
This chapter deals with interoperability among pervasive networked systems, in particular accounting for the heterogeneity of protocols from the application down to the middleware layer, which is mandatory for today's and even more for tomorrow's open and highly heterogeneous networks. The chapter then surveys existing approaches to middleware interoperability, further providing a formal specification so as to allow for rigorous characterization and assessment. In general, existing approaches fail to address interoperability required by today's ubiquitous and heterogeneous networking environments where interaction protocols run by networked systems need to be mediated at both application and middleware layers. To meet such a goal, this chapter introduces the approach that is investigated within the Connect project and that deals with the dynamic synthesis of emergent connectors that mediate the interaction protocols executed by the networked systems.
11th International School on Formal Methods for the Design of Computer, Communication and Software Systems: Connectors for Eternal Networked Software Systemsscientific book chapter 2011
oai:hal.inria.fr:inria-00629059
The Role of Ontologies in Emergent Middleware: Supporting Interoperability in Complex Distributed Systems
Interoperability is a fundamental problem in distributed systems, and an increasingly difficult problem given the level of heterogeneity and dynamism exhibited by contemporary systems. While progress has been made, we argue that complexity is now at a level such that existing approaches are inadequate and that a major re-think is required to identify principles and associated techniques to achieve this central property of distributed systems. In this paper, we postulate that emergent middleware is the right way forward; emergent middleware is a dynamically generated distributed system infrastructure for the current operating environment and context. In particular, we focus on the key role of ontologies in supporting this process and in providing underlying meaning and associated reasoning capabilities to allow the right run-time choices to be made. The paper presents the CONNECT middleware architecture as an example of emergent middleware and highlights the role of ontologies as a cross-cutting concern throughout this architecture. Two experiments are described as initial evidence of the potential role of ontologies in middleware. Important remaining challenges are also documented.
Middleware 2011 - 12th International Middleware Conferenceproceeding with peer review 2011
oai:hal.archives-ouvertes.fr:inria-00512446
Towards an architecture for runtime interoperability
Interoperability remains a fundamental challenge when connecting heterogeneous systems which encounter and spontaneously communicate with one another in pervasive computing environments. This challenge is exasperated by the highly heterogeneous technologies employed by each of the interacting parties, i.e., in terms of hardware, operating system, middleware protocols, and application protocols. This paper introduces Connect, a software framework which aims to resolve this interoperability challenge in a fundamentally different way. Connect dynamically discovers information about the running systems, uses learning to build a richer view of a system's behaviour and then uses synthesis techniques to generate a connector to achieve interoperability between heterogeneous systems. Here, we introduce the key elements of Connect and describe its application to a distributed marketplace application involving heterogeneous technologies.
Leveraging Applications of Formal Methods, Verification and Validation ISoLA 2010 - 4th International Symposium On Leveraging Applications of Formal Methods, Verification and Validationproceeding with peer review 2010
oai:hal.inria.fr:inria-00591264
Inferring Affordances Using Learning Techniques
Interoperability among heterogeneous systems is a key challenge in today's networked environment, which is characterised by continual change in aspects such as mobility and availability. Automated solutions appear then to be the only way to achieve interoperability with the needed level of flexibility and scalability. While necessary, the techniques used to achieve interaction, working from the highest application level to the lowest protocol level, come at a substantial computational cost, especially when checks are performed indiscriminately between systems in unrelated domains. To overcome this, we propose to use machine learning to extract the high-level functionality of a system and thus restrict the scope of detailed analysis to systems likely to be able to interoperate.
International Workshop on Eternal Systems (EternalS'11)proceeding with peer review 2011
oai:hal.archives-ouvertes.fr:hal-00721280
Achieving Interoperability through Semantics-based Technologies: The Instant Messaging Case
he success of pervasive computing depends on the ability to compose a multitude of networked applications dynamically in order to achieve user goals. However, applications from different providers are not able to interoperate due to incompatible interaction protocols or disparate data models. Instant messaging is a representative example of the current situation, where various competing applications keep emerging. To enforce interoperability at runtime and in a non-intrusive manner, mediators are used to perform the necessary translations and coordination between the heterogeneous applications. Nevertheless, the design of mediators requires considerable knowledge about each application as well as a substantial development effort. In this paper we present an approach based on ontology reasoning and model checking in order to generate correct-by-construction mediators automatically. We demonstrate the feasibility of our approach through a prototype tool and show that it synthesises mediators that achieve efficient interoperation of instant messaging applications.
ISWC 2012 - 11th International Semantic Web Conferenceproceeding with peer review 2012
oai:hal.archives-ouvertes.fr:hal-00722051
Machine Learning for Emergent Middleware
Highly dynamic and heterogeneous distributed systems are challenging today's middleware technologies. Existing middleware paradigms are unable to deliver on their most central promise, which is offering interoperability. In this paper, we argue for the need to dynamically synthesise distributed system infrastructures according to the current operating environment, thereby generating "Emergent Middleware'' to mediate interactions among heterogeneous networked systems that interact in an ad hoc way. The paper outlines the overall architecture of Enablers underlying Emergent Middleware, and in particular focuses on the key role of learning in supporting such a process, spanning statistical learning to infer the semantics of networked system functions and automata learning to extract the related behaviours of networked systems.
JIMSE- Joint workshops on Intelligent Methods for Software System Engineeringproceeding with peer review 2012
oai:hal.archives-ouvertes.fr:hal-00718655
Automatic Service Categorisation through Machine Learning in Emergent Middleware
The modern environment of mobile, pervasive, evolving ser- vices presents a great challenge to traditional solutions for enabling in- teroperability. Automated solutions appear to be the only way to achieve interoperability with the needed level of flexibility and scalability. While necessary, the techniques used to determine compatibility, as a precursor to interaction, come at a substantial computational cost, especially when checks are performed between systems in unrelated domains. To over- come this, we apply machine learning to extract high-level functionality information through text categorisation of a system's interface descrip- tion. This categorisation allows us to restrict the scope of compatibility checks, giving an overall performance gain when conducting matchmak- ing between systems. We have evaluated our approach on a corpus of web service descriptions, where even with moderate categorisation accuracy, a substantial performance benefit can be found. This in turn improves the applicability of our overall approach for achieving interoperability in the Connect project.
FMCO - Formal Methods for Components and Objectsproceeding with peer review 2011
oai:hal.archives-ouvertes.fr:hal-00733338
The Role of Models@run.time in Supporting On-the-fly Interoperability
Models at runtime can be defined as abstract representations of a system, including its structure and behaviour, which exist in tandem with the given system during the actual execution time of that system. Furthermore, these models should be causally connected to the system being modelled, offering a reflective capability. Significant advances have been made in recent years in applying this concept, most notably in adaptive systems. In this paper we argue that a similar approach can also be used to support the dynamic generation of software artefacts at execution time. An important area where this is relevant is the generation of software mediators to tackle the crucial problem of interoperability in distributed systems. We refer to this approach as emergent middleware, representing a fundamentally new approach to resolving interoperability problems in the complex distributed systems of today. In this context, the runtime models are used to capture meta-information about the underlying networked systems that need to interoperate, including their interfaces and additional knowledge about their associated behaviour. This is supplemented by ontological information to enable semantic reasoning. This paper focuses on this novel use of models at runtime, examining in detail the nature of such runtime models coupled with consideration of the supportive algorithms and tools that extract this knowledge and use it to synthesise the appropriate emergent middleware.
Computingarticle in peer-reviewed journal 2012-10-31
Soutenance
Thèse: Synthèse dynamique de médiateurs dans les environnements ubiquitaires
Soutenance: 2013-07-18
Rapporteurs: Elisabetta DI NITTO    Benoît BAUDRY