Context awareness

About: Context awareness is a research topic. Over the lifetime, 5790 publications have been published within this topic receiving 119944 citations.

Model driven development of context aware software systems

Abstract: This paper presents the first results of an ongoing work towards the realization of a model driven development framework for context awareness. Its core element consists of a domain specific modeling language called CAMEL (Context Awareness ModEling Language), and defined as a UML extension. CAMEL can be used to enrich a UML model of an application with elements related to contexts and context dependent behaviors. The resulting UML+CAMEL model is the starting point for model transformation aimed at generating executable code or other artifacts. CAMEL is implemented by an Eclipse plugin.

Context-Aware Self-Healing: User Equipment as the Main Source of Information for Small-Cell Indoor Networks

Abstract: This article proposes the use of context information for automatic failure management, known as self-healing, in small-cell indoor scenarios. Self-healing is one of the main functions of self-organizing networks (SONs) aiming to automate the administration, operation, and management of mobile communications infrastructure. In current deployments, the increasing use of low-power base stations, known as small cells, introduces challenges in classic self-healing procedures. This article analyzes those issues and identifies the context of user equipment (UE) as the main source of information to overcome them. Subsequently, a novel framework for integrating context awareness and self-healing is proposed, and a detailed context-based detection/diagnosis mechanism is developed. Finally, the approach is evaluated in a real small-cell deployment, showing the feasibility and usefulness of the proposed context-aware self-healing system.

Context aware serious games framework for sport and health

Abstract: Serious Games for Sport and Health are a promising chance to help people to improve their health. In this paper, we address the challenges of adding context awareness to Serious Games for Sport and Health. We propose a framework for social networks and web services that is specialized in capturing temporal and spatial context as well as vital parameters of a user. Our framework dynamically maps necessary e-Health services such as exergames. In this way, we assist a user to find the most appropriate health services according to his/her needs at anytime and anywhere. We present our initial proof of concept implementation of the framework, which includes new sensor based Serious Games for Sport and Health as well as our test results.

Real-Time Context-Aware Microservice Architecture for Predictive Analytics and Smart Decision-Making

Abstract: The impressive evolution of the Internet of Things and the great amount of data flowing through the systems provide us with an inspiring scenario for Big Data analytics and advantageous real-time context-aware predictions and smart decision-making. However, this requires a scalable system for constant streaming processing, also provided with the ability of decision-making and action taking based on the performed predictions. This paper aims at proposing a scalable architecture to provide real-time context-aware actions based on predictive streaming processing of data as an evolution of a previously provided event-driven service-oriented architecture which already permitted the context-aware detection and notification of relevant data. For this purpose, we have defined and implemented a microservice-based architecture which provides real-time context-aware actions based on predictive streaming processing of data. As a result, our architecture has been enhanced twofold: on the one hand, the architecture has been supplied with reliable predictions through the use of predictive analytics and complex event processing techniques, which permit the notification of relevant context-aware information ahead of time. On the other, it has been refactored towards a microservice architecture pattern, highly improving its maintenance and evolution. The architecture performance has been evaluated with an air quality case study.

Context-Aware Systems for Mobile and Ubiquitous Networks

Abstract: Context awareness is the capability of the networking applications to be aware of the existence and characteristics of the user's activities and environments. In rapidly changing scenarios, such as the ones considered in the fields of mobile, pervasive, or ubiquitous computing, systems have to adapt their behavior based on the current conditions and the dynamicity of the environment they are immersed in. In order to function according to a user's expectation, these systems have to consider the situation, activity, and state of the user and all other relevant entities. Such information is commonly referred to as context. This paper provides an overview of context definitions, architectures for supporting context aware applications, approaches to capture and manage context information and the use of context information in contextaware systems. A number of research challenges in context aware computing are also identified and discussed.