Abstract
The pervasive use of Internet of Things and smart meter technologies in smart cities increases the complexity of managing the data, due to their sizes, diversity, and privacy issues. This requires an innovate solution to process and manage the data effectively. This paper presents an elastic private scientific cloud, SciCloud, to tackle these grand challenges. SciCloud provides on-demand computing resource provisions, a scalable data management platform and an in-place data analytics environment to support the scientific research using smart city data.
| Original language | English |
|---|---|
| Title of host publication | 2017 28th International Workshop on Database and Expert Systems Applications (DEXA) |
| Publisher | IEEE |
| Publication date | 2017 |
| Pages | 27-31 |
| ISBN (Electronic) | 978-1-5386-1051-0 |
| DOIs | |
| Publication status | Published - 2017 |
| Event | 28th International Conference on Database and Expert Systems Applications - Lyon, France Duration: 28 Aug 2017 → 31 Aug 2017 Conference number: 28 |
Conference
| Conference | 28th International Conference on Database and Expert Systems Applications |
|---|---|
| Number | 28 |
| Country/Territory | France |
| City | Lyon |
| Period | 28/08/2017 → 31/08/2017 |
