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In the mobile internet era, location-based services have been widely used in mobile applications for delivering novel services to end-users. As battery technologies have long been the bottleneck holding back the development of mobile applications, a large body of research has focused on saving energy. This paper proposes an adaptive middleware architecture for mobile applications using location-based...
Thanks to the proliferation of mobile technologies that enable devices to use the network for providing (publish) or requiring (subscribe) information according to specific applications aims, the Internet of Things (IoT) can be considered as the biggest challenge that the industry is currently facing. During the last years several application domains for IoT have emerged and among these the Smart...
We discuss our experience with the design, implementation, deployment and evaluation of a Human Activity Detection application. This application relies on a software architecture for IoT-based monitoring in Ambient Assisted Living (AAL), based on a Semantic Message Oriented Middleware (SeMoM). Going beyond traditional sensor management systems, our architecture addresses the heterogeneity challenge...
In order to meet the significant challenges in future MPSoCs they need be become more adaptive and autonomous. We argue that a self-aware MPSoC can efficiently manage itself even in the presence of aging, varying application demands, functional and non-functional aberrations, and thus achieve a high level of adaption and autonomy. We review CPSoC as an exemplar of a self-aware MPSoC and demonstrate...
The explosive proliferation of smart devices and cloud computing has ushered the era of Cyberphysical Systems (CPS), a congruence of physical dynamical systems with the cyberspace. The success of deploying an Internet of Things (IoT) interconnecting billions of devices relies heavily upon making the right choices in revisiting traditional architectures for networked control and information processing...
This paper explores the effectiveness of MOOS-IvP middleware for Unmanned Surface Vehicles(USV). As unmanned technology evolves, various functions are required to carry out some missions. Also, as the USVs have more sensors, the complexity of data sharing is increasing. A good solution to deal with this is middleware. The MOOS-IvP is a C++ based open source publish-subscribe middleware. It consists...
Analyzing and visualizing large datasets generated by real-time spatio-temporal activities (e.g. vehicle mobility or large crowd movement) are a very challenging task. Recursive delays both at middleware and front end applications limit the of usefulness of the real-time analysis. In this paper, we present a framework “Spatial-Crowd” that first handles spatial-temporal data acquisition and processing...
This paper presents the system architecture of an event-based building management platform. By incorporating the distributed computing technologies in its core, it is able to adaptively scale horizontally without the redesign and the configuration downtime. The commodity hardware and networks used, permit vertical scaling if performance requirements change after the deployment. Additionally, the proposed...
In recent years there has been a huge discussion about the IoT (Internet of Things) concept, and even more about IoT within industrial environment. The real IoT is a network of devices with local intelligence (sensors, lights, gas pumps, HVAC systems), which shares access & control mechanisms to push and pull status and command information from the networked world. However, there are still some...
The Internet of Things (IoT) relies on physical objects interconnected between each others, creating a mesh of devices producing information. In this context, sensors are surrounding our environment (e.g., cars, buildings, smartphones) and continuously collect data about our living environment. Thus, the IoT is a prototypical example of Big Data. The contribution of this paper is to define a software...
There is a trend in industrial systems towards the use of common-off-the-shelf (COTS) components to develop applications that interact with open systems. This trend includes among others the use of high-level languages, such as Java, and Internet protocols (HTTP and Web Services). Although many industrial systems use these technologies at their business layers, they are far from offering a homogeneous...
The Internet of Things (IoT) is part of Future Internet and will comprise many billions of Internet Connected Objects (ICO) or `things' where things can sense, communicate, compute and potentially actuate as well as have intelligence, multi-modal interfaces, physical/ virtual identities and attributes. Collecting data from these objects is an important task as it allows software systems to understand...
The constantly increasing dynamics of the world economy and the shift of business values in accordance with the new values of the current society has lead to the development of new Internet oriented Enterprise Systems. This paper is concerned with the transformation of such systems in regard to the new paradigms of Future Internet and Cyber -- Physical Systems. A Distributed Semantic Middleware is...
Nowadays, as mobile smart terminals are becoming increasing widespread and multitudinous sensors are included, the applications with various new functions that run on mobile terminals are largely expanded. This paper proposes a Cross-Platform and Context-Awareness (CPCA) middleware intended for application developers, by which they can develop context-aware applications by providing the context reasoning...
Future urban computing scenarios will be characterized by the close integration of ICT devices and humans. Citizens, by using their own capabilities augmented and integrated with ICT technologies, could thus collaboratively realize a sort of socio-technical super organism to support high-levels of collective "urban" intelligence and various forms of collective actions. This position paper,...
Internet of Things (IoT) will connect billions of sensors deployed around the world together. This will create an ideal opportunity to build a sensing-as-a-service platform. Due to large number of sensor deployments, there would be number of sensors that can be used to sense and collect similar information. Further, due to advances in sensor hardware technology, new methods and measurements will be...
This paper proposes an open software platform architecture to provide semantic information collected from various sensor networks and sensing devices. Semantically expressed sensing information and metadata of sensing devices can improve reusability of sensing data, therefore general consumers as well as the restricted user can observe, monitor and analyze sensing values from pre-installed sensing...
Although pervasive computing and ambient intelligence are emerging disciplines, domain independent middleware for those scenarios are rare. In this paper we propose act-mobile as a domain independent middleware for pervasive computing environments that consists of a central service platform and locally integrated gateways, building the bridge between sensors and actuators and the act-mobile server...
We propose virtualized network platform for optimal test bed of large scale cyber-physical system(CPS). We introduce network and performance isolation scheme of virtual network platform to support CPS.
Traditional sensor networks communicate all data to a central repository for collection and analysis. The data volumes are low so this works: data are moved. Multimedia sensor networks for environmental monitoring present a different scenario. Volumes of data are large and sensors may be located in areas of limited or poor connectivity. Typical cloud solutions do not work. In this paper we present...
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