Heterogeneous component interactions: Sensors integration into multimedia applications

Resource-constrained embedded and mobile devices are becoming increasingly common. Since few years, some mobile and ubiquitous devices such as wireless sensor, able to be aware of their physical environment, appeared. Such devices enable proposing applications which adapt to user's need according the context evolution. It implies the collaboration of sensors and software components which differ on their nature and their communication mechanisms. This paper proposes a unified component model in order to easily design applications based on software components and sensors without taking care of their nature. Then it presents a state of the art of communication problems linked to heterogeneous components and proposes an interaction mechanism which ensures information exchanges between wireless sensors and software components

Context Aware Adaptable Applications - A global approach

Actual applications (mostly component based) requirements cannot be expressed without a ubiquitous and mobile part for end-users as well as for M2M applications (Machine to Machine). Such an evolution implies context management in order to evaluate the consequences of the mobility and corresponding mechanisms to adapt or to be adapted to the new environment. Applications are then qualified as context aware applications. This first part of this paper presents an overview of context and its management by application adaptation. This part starts by a definition and proposes a model for the context. It also presents various techniques to adapt applications to the context: from self-adaptation to supervised approached. The second part is an overview of architectures for adaptable applications. It focuses on platforms based solutions and shows information flows between application, platform and context. Finally it makes a synthesis proposition with a platform for adaptable context-aware applications called Kalimucho. Then we present implementations tools for software components and a dataflow models in order to implement the Kalimucho platform

A Self-adaptive Agent-based System for Cloud Platforms

Cloud computing is a model for enabling on-demand network access to a shared pool of computing resources, that can be dynamically allocated and released with minimal effort. However, this task can be complex in highly dynamic environments with various resources to allocate for an increasing number of different users requirements. In this work, we propose a Cloud architecture based on a multi-agent system exhibiting a self-adaptive behavior to address the dynamic resource allocation. This self-adaptive system follows a MAPE-K approach to reason and act, according to QoS, Cloud service information, and propagated run-time information, to detect QoS degradation and make better resource allocation decisions. We validate our proposed Cloud architecture by simulation. Results show that it can properly allocate resources to reduce energy consumption, while satisfying the users demanded QoS

Kalimucho: Contextual Deployment for QoS Management

International audienceThe increasing use of mobile technologies last years leads to face to new challenges in order to satisfy people using mobile devices. As they use their favorite applications on their personal computer at home, people wants to use it on their PDA or mobile phone and wants applications can be improve according to location, weather or any contextual information. However, addressing such context-aware systems deals with three main characteristics: context changes, mobility and limited resources of devices. In this article we respond to user requirements and changes of the environment with dynamic adaptations of application deployment guided by QoS respect. We are particularly interested in distributed applications QoS management facing with hardware limitations and mobility of devices, user requirements and usage constraints. We propose a service-based reconfiguration platform named Kalimucho, which implements a contextual-deployment heuristic to find a configuration that matches with context and QoS requirements. Kalimucho was tested on the Osagaia/Korrontea component model and the SunSpot platform; results confirm that Kalimucho provides a satisfying execution time to adapt applications

Kalimucho : Plateforme d'Adaptation des Applications Mobiles

International audienceL'utilisation de plus en plus fréquente des technologies mobiles nous amène à faire face à de nouveaux défis afin de satisfaire les utilisateurs. De la même façon qu'ils utilisent leurs applications favorites sur leur ordinateur, les utilisateurs souhaitent pouvoir également les utiliser sur leur Smartphone ou leur tablette et que les applications prennent compte de leur position, du temps ou de toute autre information contextuelle. Cependant, de tels systèmes sensibles au contexte impliquent de prendre en compte trois principales caractéristiques : la variation du contexte, la mobilité et les ressources limitées des appareils. Dans cet article, nous essayons de traiter ces caractéristiques par l'adaptation dynamique des applications guidée par la qualité de service (QdS). Nous proposons une plateforme de reconfiguration basée service appelée Kalimucho. Elle implémente une heuristique de déploiement contextuel permettant de trouver une configuration satisfaisant les conditions de contexte et de QdS. Kalimucho a été testée avec le modéle de composant Osagaia/Korrontea et plusieurs périphériques ; les résultats confirment que Kalimucho fournit des adaptations en un temps d'exécution satisfaisant

Extended iCanCloud simulation framework for VANET-Cloud architectures

International audienceWith the exponential development of cities, the traffic flow prediction has become an important step in the development of transport systems. The main purpose is to improve the logistic services and reduce the cost of the road congestion. In this paper, we propose an extended iCanCloud framework simulation to evaluate the performance of VANET-Cloud architectures. In addition, we propose a VANET-Cloud architecture uses connected traffic detectors (e.g., speed loop trap) to collect traffic data in real time. After that, these data are used to predict the traffic flow. In the simulation step, the proposed architecture was tested by the extended framework, where it provides better performances at peak hours in terms of service latency and data accuracy

Smart Emergency Alert System Using Internet of Things and Linked Open Data for Chronic Disease Patients

International audienceNowadays, the widespread deployment of more powerful devices (sensors, smartphones, tablets, etc.) has provided us with great number sources of sensing data that are exploited in several domains namely the healthcare domain. Chronic diseases are the most common causes of death and disability worldwide. These types of diseases require more and more studies to help patients and notify cases of crises that lead to death. Representing knowledge through building an ontology for emergency alert system is important to achieve semantic interoperability among health information, predict the patient real-time context and to better execute decision notification. Linked Open Data services are used in our paper in order to provide with the semantic description of collected data from different sources (wearable sensors, environmental sensors, etc.)

Toward a Context-Aware and Automatic Evaluation of Elderly Dependency in Smart Homes and Cities

International audienceIn this work, we propose a framework for automatic dependency evaluation that can notify the changes of the elderly dependency, hence providing persons with required services in time. In order to validate our approach, we target the French dependent population. Especially, we focus our proposal on the AGGIR dependency model used in the French medical field. Our objective is to provide a flexible architecture and an extensible model linked to opened data that can refer to a wide variety of services (hardware sensors and software; simple or composed services)

A Component Model for Transmission and Processing of Synchronized Multimedia Data Flows

International audienceOur research deals with distributed multimedia applications built on software components. Currently, multimedia data are omnipresent on the Internet. However, this network is not designed to support and transmit multimedia data. In this perspective, it is necessary to introduce quality of service management in this kind of applications. In this paper, we are particularly interested in the inter-flow synchronization (e.g. audio and image flows of a video). We develop a component model in order to tackle the synchronization between multimedia flows from the source (e.g. media capture) to the destination (e.g. media player). This model is named OSAGAIA* and is made of two entities. The first one is called elementary processor. It is used as the runtime environment (component container) for multimedia components. The second one is called conduit. It is used to transport synchronous multimedia flows between elementary processors. So, distributed applications are composed of multimedia components (within containers) connected by multimedia flows (within conduits). We are working on a distributed prototype which validates the synchronization algorithms that we use. It is implemented with Java language using JMF (Java Media Framework) API and TCP/IP as network protocol

A Multimedia Oriented Component Model.

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