Abstract
| Original language | English |
|---|---|
| Title of host publication | 2018 IEEE/ACM Symposium on Edge Computing {SEC 2018) : Seattle, Washington, USA, 25-27 October 2018 |
| Number of pages | 2 |
| Publisher | IEEE |
| Publication date | 2018 |
| Pages | 326-327 |
| ISBN (Print) | 978-1-5386-9446-6 |
| ISBN (Electronic) | 978-1-5386-9445-9 |
| DOIs | |
| Publication status | Published - 2018 |
| MoE publication type | A4 Article in conference proceedings |
| Event | IEEE/ACM Symposium on Edge Computing - Bellevue, United States Duration: 25 Oct 2018 → 27 Oct 2018 Conference number: 3 http://acm-ieee-sec.org/2018/ |
Fields of Science
- Containers
- Servers
- Cloud computing
- Robot sensing systems
- Air quality
- Ethernet
- Edge
- OpenStack
- Raspberry Pi
- Microservers
- Hybrid Cloud
- 113 Computer and information sciences
Cite this
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Demo : Managing Sensing Resources at the Edge using Cloud OSes. / Osmani, Lirim; Rao, Ashwin; Varjonen, Samu; Lagerspetz, Eemil; Flinck, Hannu; Tarkoma, Sasu.
2018 IEEE/ACM Symposium on Edge Computing {SEC 2018): Seattle, Washington, USA, 25-27 October 2018. IEEE, 2018. p. 326-327.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
TY - GEN
T1 - Demo
T2 - Managing Sensing Resources at the Edge using Cloud OSes
AU - Osmani, Lirim
AU - Rao, Ashwin
AU - Varjonen, Samu
AU - Lagerspetz, Eemil
AU - Flinck, Hannu
AU - Tarkoma, Sasu
PY - 2018
Y1 - 2018
N2 - Environmental sensing is an important use case for edge computing and mobile networks. Specifically, edge computing approaches and mobile networks are expected to be used by sensing applications to collect data from fixed environment monitoring stations along with the sensors mounted on mobile sensing platforms. These mobile sensing platforms are in turn expected to leverage micro-servers such as Raspberry Pis for collecting the data, performing some initial computation, and disseminating their results for further processing. In this demonstration we show that OpenStack can be used to manage containers on Rasperry Pis. This setup enables a) micro-servers at the network edge to support multitenancy like their counterparts in data centers, and b) Cloud OSes to manage the resources at the network edge along with the resources in data centers. Specifically, such a hybrid cloud setup can be useful in augmenting the computational resources in private and public clouds with their counterparts in the network edge.
AB - Environmental sensing is an important use case for edge computing and mobile networks. Specifically, edge computing approaches and mobile networks are expected to be used by sensing applications to collect data from fixed environment monitoring stations along with the sensors mounted on mobile sensing platforms. These mobile sensing platforms are in turn expected to leverage micro-servers such as Raspberry Pis for collecting the data, performing some initial computation, and disseminating their results for further processing. In this demonstration we show that OpenStack can be used to manage containers on Rasperry Pis. This setup enables a) micro-servers at the network edge to support multitenancy like their counterparts in data centers, and b) Cloud OSes to manage the resources at the network edge along with the resources in data centers. Specifically, such a hybrid cloud setup can be useful in augmenting the computational resources in private and public clouds with their counterparts in the network edge.
KW - Containers
KW - Servers
KW - Cloud computing
KW - Robot sensing systems
KW - Air quality
KW - Ethernet
KW - Edge
KW - OpenStack
KW - Raspberry Pi
KW - Microservers
KW - Hybrid Cloud
KW - 113 Computer and information sciences
U2 - 10.1109/SEC.2018.00032
DO - 10.1109/SEC.2018.00032
M3 - Conference contribution
SN - 978-1-5386-9446-6
SP - 326
EP - 327
BT - 2018 IEEE/ACM Symposium on Edge Computing {SEC 2018)
PB - IEEE
ER -