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Thomas Ledoux

Researcher at French Institute for Research in Computer Science and Automation

Publications -  65
Citations -  1689

Thomas Ledoux is an academic researcher from French Institute for Research in Computer Science and Automation. The author has contributed to research in topics: Cloud computing & Energy consumption. The author has an hindex of 22, co-authored 62 publications receiving 1608 citations. Previous affiliations of Thomas Ledoux include IBM & École des mines de Nantes.

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Book ChapterDOI

OpenCorba: A Reflective Open Broker

TL;DR: OpenCorba is presented, a reflective open broker, enabling users to adapt dynamically the representation and the execution policies of the software bus, and gives a clear example of the benefits of reflective middleware.
Proceedings ArticleDOI

WildCAT: a generic framework for context-aware applications

TL;DR: WildCAT provides a simple yet powerful dynamic model to represent an application's execution context that can be accessed by application programmers through two complimentary interfaces: synchronous requests and asynchronous notifications.
Book ChapterDOI

An aspect-oriented approach for developing self-adaptive fractal components

TL;DR: This paper proposes SAFRAN, an extension of the Fractal component model for the development of the adaptation aspect as reactive adaptation policies, which allows the modular development of adaptation policies and their dynamic weaving into running applications.
Book ChapterDOI

Towards a Framework for Self-adaptive Component-Based Applications

TL;DR: In this article, a separation of concerns principle is proposed to enable the development of self-adaptive component-based applications using the Separation of Concerns principle, which considers adaptation to a specific execution context and its evolutions as a concern which should be treated separately from the rest of an application.
Journal ArticleDOI

SLA guarantees for cloud services

TL;DR: This paper presents a new cloud model called SLAaaS - SLA?aware Service, which considers QoS levels and SLA as first class citizens of cloud-based services and presents a general control-theoretic approach for managing cloud service SLA.