Challenges of Crowd Sensing for Cost-Effective Data Management in the Cloud-Reference-Cited by-同舟云学术

Challenges of Crowd Sensing for Cost-Effective Data Management in the Cloud

Published:2018-07-28 Issue: Volume: Page:73-88
ISSN:2367-3370
Container-title:Cloud Computing and Big Data: Technologies, Applications and Security
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Author:

Alkhelaiwi Aseel,Grigoras Dan

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-97719-5_6

Reference36 articles.

1. Talasila, M., Curtmola, R., Borcea, C.: Mobile crowd sensing. In: Vacca, J.R. (ed.) Handbook of Sensor Networking: Advanced Technologies and Applications. CRC Press, Boca Raton (2015)

2. Bierzynski, K., Escobar, A., Eberl, M.: Cloud, fog and edge: cooperation for the future? In: 2017 Second International Conference on Fog and Mobile Edge Computing (FMEC), Valencia, pp. 62–67 (2017)

3. Bonomi, F., Milito, R., Zhu, J., Addepalli, S.: Fog computing and its role in the internet of things. In: Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing, MCC 2012, pp. 13–16. ACM, New York (2012)

4. Vaquero, L.M., Rodero-Merino, L.: Finding your way in the fog: towards a comprehensive definition of fog computing. ACM SIGCOMM Comput. Commun. Rev. 44, 27–32 (2014)

5. Ahn, S., Gorlatova, M., Chiang, M.: Leveraging fog and cloud computing for efficient computational offloading. In: 2017 IEEE MIT Undergraduate Research Technology Conference (URTC), Cambridge, pp. 1–4 (2017)

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