921 research outputs found

    A Study to Optimize Heterogeneous Resources for Open IoT

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    Recently, IoT technologies have been progressed, and many sensors and actuators are connected to networks. Previously, IoT services were developed by vertical integration style. But now Open IoT concept has attracted attentions which achieves various IoT services by integrating horizontal separated devices and services. For Open IoT era, we have proposed the Tacit Computing technology to discover the devices with necessary data for users on demand and use them dynamically. We also implemented elemental technologies of Tacit Computing. In this paper, we propose three layers optimizations to reduce operation cost and improve performance of Tacit computing service, in order to make as a continuous service of discovered devices by Tacit Computing. In optimization process, appropriate function allocation or offloading specific functions are calculated on device, network and cloud layer before full-scale operation.Comment: 3 pages, 1 figure, 2017 Fifth International Symposium on Computing and Networking (CANDAR2017), Nov. 201

    Experiments of posture estimation on vehicles using wearable acceleration sensors

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    In this paper, we study methods to estimate drivers' posture in vehicles using acceleration data of wearable sensor and conduct a field test. Recently, sensor technologies have been progressed. Solutions of safety management to analyze vital data acquired from wearable sensor and judge work status are proposed. To prevent huge accidents, demands for safety management of bus and taxi are high. However, acceleration of vehicles is added to wearable sensor in vehicles, and there is no guarantee to estimate drivers' posture accurately. Therefore, in this paper, we study methods to estimate driving posture using acceleration data acquired from T-shirt type wearable sensor hitoe, conduct field tests and implement a sample application.Comment: 4 pages, 4 figures, The 3rd IEEE International Conference on Big Data Security on Cloud (BigDataSecurity 2017), pp.14-17, Beijing, May 201

    A Reflective Platform for Highly Adaptive Multi-Cloud Systems

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    International audienceCloud platforms are increasingly used for hosting a broad diversity of services from traditional e-commerce applications to interactive web-based IDEs. However, we observe that the prolif- eration of offers by Cloud vendors raises several challenges. Developers will not only have to deploy applications for a specific Cloud, but will also have to consider migrating services from one cloud to another, and to manage applications spanning multiple Clouds. In this paper, we therefore report on a first experiment we conducted to build a multi-Cloud system on top of thirteen existing IaaS/PaaS. From this experiment, we advocate for two dimensions of adaptability - design and execution time - that applications for such systems require to exhibit. Finally, we propose a roadmap for future multi-Cloud systems
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