Demo

Managing Sensing Resources at the Edge using Cloud OSes

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussaKonferenssiartikkeliTieteellinenvertaisarvioitu

Kuvaus

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.
Alkuperäiskielienglanti
Otsikko2018 IEEE/ACM Symposium on Edge Computing {SEC 2018) : Seattle, Washington, USA, 25-27 October 2018
Sivumäärä2
KustantajaIEEE
Julkaisupäivä2018
Sivut326-327
ISBN (painettu)978-1-5386-9446-6
ISBN (elektroninen)978-1-5386-9445-9
DOI - pysyväislinkit
TilaJulkaistu - 2018
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaIEEE/ACM Symposium on Edge Computing - Bellevue, Yhdysvallat (USA)
Kesto: 25 lokakuuta 201827 lokakuuta 2018
Konferenssinumero: 3
http://acm-ieee-sec.org/2018/

Tieteenalat

  • 113 Tietojenkäsittely- ja informaatiotieteet

Lainaa tätä

Osmani, L., Rao, A., Varjonen, S., Lagerspetz, E., Flinck, H., & Tarkoma, S. (2018). Demo: Managing Sensing Resources at the Edge using Cloud OSes. teoksessa 2018 IEEE/ACM Symposium on Edge Computing {SEC 2018): Seattle, Washington, USA, 25-27 October 2018 (Sivut 326-327). IEEE. https://doi.org/10.1109/SEC.2018.00032
Osmani, Lirim ; Rao, Ashwin ; Varjonen, Samu ; Lagerspetz, Eemil ; Flinck, Hannu ; Tarkoma, Sasu. / Demo : Managing Sensing Resources at the Edge using Cloud OSes. 2018 IEEE/ACM Symposium on Edge Computing {SEC 2018): Seattle, Washington, USA, 25-27 October 2018. IEEE, 2018. Sivut 326-327
@inproceedings{5d1478b4919548d19bdeac358114b1ba,
title = "Demo: Managing Sensing Resources at the Edge using Cloud OSes",
abstract = "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.",
keywords = "Containers, Servers, Cloud computing, Robot sensing systems, Air quality, Ethernet, Edge, OpenStack, Raspberry Pi, Microservers, Hybrid Cloud, 113 Computer and information sciences",
author = "Lirim Osmani and Ashwin Rao and Samu Varjonen and Eemil Lagerspetz and Hannu Flinck and Sasu Tarkoma",
year = "2018",
doi = "10.1109/SEC.2018.00032",
language = "English",
isbn = "978-1-5386-9446-6",
pages = "326--327",
booktitle = "2018 IEEE/ACM Symposium on Edge Computing {SEC 2018)",
publisher = "IEEE",
address = "United States",

}

Osmani, L, Rao, A, Varjonen, S, Lagerspetz, E, Flinck, H & Tarkoma, S 2018, Demo: Managing Sensing Resources at the Edge using Cloud OSes. julkaisussa 2018 IEEE/ACM Symposium on Edge Computing {SEC 2018): Seattle, Washington, USA, 25-27 October 2018. IEEE, Sivut 326-327, IEEE/ACM Symposium on Edge Computing, Bellevue, Yhdysvallat (USA), 25/10/2018. https://doi.org/10.1109/SEC.2018.00032

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. s. 326-327.

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussaKonferenssiartikkeliTieteellinenvertaisarvioitu

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 -

Osmani L, Rao A, Varjonen S, Lagerspetz E, Flinck H, Tarkoma S. Demo: Managing Sensing Resources at the Edge using Cloud OSes. julkaisussa 2018 IEEE/ACM Symposium on Edge Computing {SEC 2018): Seattle, Washington, USA, 25-27 October 2018. IEEE. 2018. s. 326-327 https://doi.org/10.1109/SEC.2018.00032