Managing Data and Processes in Cloud-Enabled Large-Scale Sensor Networks: State-of-the-Art and Future Research Directions

Cuzzocrea, Alfredo, Fortino, Giancarlo and Rana, Omer Farooq ORCID: https://orcid.org/0000-0003-3597-2646 2013. Managing Data and Processes in Cloud-Enabled Large-Scale Sensor Networks: State-of-the-Art and Future Research Directions. Presented at: 2013 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid), Delft, Netherlands, 13-16 May 2013. Published in: Balaji, P., Epema, D. and Fahringer, T. eds. Proceedings of the 2013 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid). Los Alamitos, CA: IEEE, pp. 583-588. 10.1109/CCGrid.2013.116

Full text not available from this repository.

Abstract

In this paper we focus on state-of-the-art analysis and open research issues in the context of Cloud-enabled large-scale sensor networks, which naturally marry with the emerging Big Data paradigm. We particularly address how data and processes are represented and managed in such infrastructures, by highlighting benefits and limitations. We also provide rigorous and critical discussion on actual trends and solutions available in literature, along with future research directions in this scientific field.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords:	Big Data; Cloud Computing; Cloud-Enabled Large-Scale Sensor Networks
Publisher:	IEEE
ISBN:	9781467364652
Last Modified:	24 Oct 2022 11:39
URI:	https://orca.cardiff.ac.uk/id/eprint/48902

Citation Data

Cited 66 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item