147 research outputs found

    The Fog Makes Sense: Enabling Social Sensing Services With Limited Internet Connectivity

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    Social sensing services use humans as sensor carriers, sensor operators and sensors themselves in order to provide situation-awareness to applications. This promises to provide a multitude of benefits to the users, for example in the management of natural disasters or in community empowerment. However, current social sensing services depend on Internet connectivity since the services are deployed on central Cloud platforms. In many circumstances, Internet connectivity is constrained, for instance when a natural disaster causes Internet outages or when people do not have Internet access due to economical reasons. In this paper, we propose the emerging Fog Computing infrastructure to become a key-enabler of social sensing services in situations of constrained Internet connectivity. To this end, we develop a generic architecture and API of Fog-enabled social sensing services. We exemplify the usage of the proposed social sensing architecture on a number of concrete use cases from two different scenarios.Comment: Ruben Mayer, Harshit Gupta, Enrique Saurez, and Umakishore Ramachandran. 2017. The Fog Makes Sense: Enabling Social Sensing Services With Limited Internet Connectivity. In Proceedings of The 2nd International Workshop on Social Sensing, Pittsburgh, PA, USA, April 21 2017 (SocialSens'17), 6 page

    NMI: Exploration of middleware technologies for ubiquitous computing with applications to grid computing

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    Issued as final reportNational Science Foundation (U.S.

    Research on massively parallel architectures

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    Issued as Annual report, and Final report, Project C-36-69

    Distributed operating systems and machine architecture : reducing the semantic gap

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    Issued as annual progress report and final repor

    Hardware Support for Interprocess Communication

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    Preface to the Special Issue on Architectural Support for Operating Systems

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