Titelangaben
Mayer, Ruben ; Gupta, Harshit ; Saurez, Enrique ; Ramachandran, Umakishore:
The fog makes sense : Enabling social sensing services with limited internet connectivity.
In:
Proceedings 2017 2nd International Workshop on Social Sensing. -
New York
: Association for Computing Machinery
,
2017
. - S. 61-66
ISBN 978-1-4503-4977-2
DOI: https://doi.org/10.1145/3055601.3055614
Abstract
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.
Weitere Angaben
Publikationsform: | Aufsatz in einem Buch |
---|---|
Begutachteter Beitrag: | Ja |
Institutionen der Universität: | Fakultäten Fakultäten > Fakultät für Mathematik, Physik und Informatik Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Data Systems Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Data Systems > Lehrstuhl Data Systems - Univ.-Prof. Dr. Ruben Mayer Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik |
Titel an der UBT entstanden: | Nein |
Themengebiete aus DDC: | 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik |
Eingestellt am: | 25 Apr 2023 10:34 |
Letzte Änderung: | 05 Feb 2024 07:40 |
URI: | https://eref.uni-bayreuth.de/id/eprint/76019 |