The Fog Makes Sense: Enabling Social Sensing Services With Limited Internet Connectivity
| Autor: | Enrique Saurez, Harshit Gupta, Umakishore Ramachandran, Ruben Mayer |
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| Rok vydání: | 2017 |
| Předmět: |
FOS: Computer and information sciences
business.product_category business.industry Computer science 05 social sciences 0507 social and economic geography 020206 networking & telecommunications Cloud computing 02 engineering and technology Computer security computer.software_genre Computer Science - Distributed Parallel and Cluster Computing Order (exchange) 0202 electrical engineering electronic engineering information engineering Internet access The Internet Distributed Parallel and Cluster Computing (cs.DC) business Natural disaster 050703 geography computer |
| DOI: | 10.48550/arxiv.1703.01975 |
| Popis: | 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 pages |
| Databáze: | OpenAIRE |
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