FROGi : Deploiement de composants Fractal sur OSGi

Cet article presente FROGi, une proposition visant a introduire le modele a composants Fractal a l'interieur de la plateforme de services OSGi. La motivation derriere ce travail est double. D'un cote, FROGi offre aux developpeurs de services OSGi un modele a composants extensibles qui facilite le developpement des bundles ; ces derniers restent toutefois compatibles avec les bundles "patrimoniaux". D'un autre cote, FROGi beneficie de l'infrastructure de deploiement que represente OSGi et qui facilite la realisation du conditionnement et du deploiement de composants Fractal. Dans FROGi, une application Fractal est conditionnee sous la forme d'un ou plusieurs bundles et elle peut etre deployee de facon partielle et les activites de deploiement peuvent avoir lieu de facon continue. -- This paper presents FROGi, a proposal to introduce the Fractal component model into the OSGi services platform. There are two motivations for this work. The first one is to offer a flexible component model to the OSGi developers to simplify bundle development. Bundles developed with FROGi are nevertheless compatible with standard bundles. The second motivation is to leverage OSGi's deployment capabilities to package and deploy Fractal components. In FROGi, a Fractal application is packaged and delivered as a set of OSGi bundles; such an application supports partial deployment and additionally, deployment activities can occur continuously

CIRUS: an elastic cloud-based framework for Ubilytics

International audienceThe Internet of Things (IoT) has become a reality with the availability of chatty embedded devices. The huge amount of data generated by things must be analysed with models and technologies of the " Big Data An-alytics " , deployed on Cloud platforms. The CIRUS project aims to deliver a generic and elastic cloud-based framework for Ubilytics (ubiquitous big data analytics). The CIRUS framework collects and analyses IoT data for Machine to Machine services using Component-off-the-Shelves (COTS) such as IoT gateways, Message brokers or Message-as-a-Service providers and Big Data analytics platforms deployed and reconfigured dynamically with Roboconf. In this paper, we demonstrate and evaluate the genericity and elasticity of CIRUS with the deployment of an Ubilytics use case using a real dataset based on records originating from a practical source

Device re-identification in LoRaWAN through messages linkage

International audienceIn LoRaWAN networks, devices are identified by two identifiers: a globally unique and stable one called DevEUI, and an ephemeral and randomly assigned pseudonym called DevAddr. The association between those identifiers is only known by the network and join servers, and is not available to a passive eavesdropper.In this work, we consider the problem of linking the DevAddr with the corresponding DevAddr based on passive observation of the LoRa traffic transmitted over the air. Leveraging metadata exposed in LoRa frames, we devise a technique to link two messages containing respectively the DevEUI and the DevAddr, thus identifying the link between those identifiers. The approach is based on machine learning algorithms using various pieces of information including timing, signal strength, and fields of the frames. Based on an evaluation using a real-world dataset of 11 million messages, with ground truth available, we show that multiple machine learning models are able to reliably link those identifiers. The best of them achieves an impressive true positive rate of over 0.8 and a false positive rate of 0.001

An Adaptable Framework to Deploy Complex Applications onto Multi-cloud Platforms

International audienceCloud computing is nowadays a popular technology for hosting IT services. However, deploying and reconfiguring complex applications involving multiple software components, which are distributed on many virtual machines running on single or multi-cloud platforms, is error-prone and time-consuming for human administrators. Existing deployment frameworks are most of the time either dedicated to a unique type of application (e.g. JEE applications) or address a single cloud platform (e.g. Amazon EC2). This paper presents a novel distributed application management framework for multi-cloud platforms. It provides a Domain Specific Language (DSL) which allows to describe applications and their execution environments (cloud platforms) in a hierarchical way in order to provide a fine-grained management. This framework implements an asynchronous and parallel deployment protocol which accelerates and make resilient the deployment process. A prototype has been developed to serve conducting intensive experiments with different type of applications (e.g. OSGi application and ubiquitous big data analytics for IoT) over disparate cloud models (e.g. private, hybrid, and multi-cloud), which validate the genericity of the framework. These experiments also demonstrate its efficiency comparing to existing frameworks such as Cloudify

Roboconf: a Hybrid Cloud Orchestrator to Deploy Complex Applications

International audienceThis paper presents Roboconf, an open-source distributed application orchestration framework for multi-cloud platforms, designed to solve challenges of current Autonomic Computing Systems in the era of Cloud computing. It provides a Domain Specific Language (DSL) which allows to describe applications and their execution environments (cloud platforms) in a hierarchical way in order to provide a fine-grained management. Roboconf implements an asynchronous and parallel deployment protocol which accelerates and makes resilient the deployment process. Intensive experiments with different type of applications over different cloud models (e.g. private, hybrid, and multi-cloud) validate the genericity of Roboconf. These experiments also demonstrate its efficiency comparing to existing frameworks such as RightScale, Scalr, and Cloudify

A survey on approaches for addressing dependability attributes in the OSGi service platform

International audienceThe OSGi service platform is being used in software industry as the de facto middleware for developing and deploying modular Java applications, using SOA principles in centralized solutions. OSGi provides a dynamic platform where components and services can be deployed and undeployed at runtime, attracting the attention of both commercial and research projects. Although the platform is used in fields with different purposes (e.g. experimentally used in healthcare, commercially used in application servers) but where dependability should be a pre-requisite for applications, it is a fact that the OSGi technology does not provide a dependable platform for executing applications with such needs. Different research efforts try to address dependability attributes (availability, integrity, maintainability, reliability, safety, and confidentiality) in the OSGi service platform, but not necessarily all of these attributes are completely covered or explicitly addressed in the textual references. We provide a brief survey on recent research efforts that try to improve dependability in the OSGi service platform. We analyze and identify which attributes are addressed on each approach, and provide a discussion on the employed techniques, similarities and results achieved on such approaches. Al-though this survey remains limited to one technology (OSGi), the problematic as well as all the employed techniques in the analyzed efforts are pertinent to other service and component-based systems