Demo

Managing Sensing Resources at the Edge using Cloud OSes

Forskningsoutput: Kapitel i bok/rapport/konferenshandlingKonferensbidragVetenskapligPeer review

Sammanfattning

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.
Originalspråkengelska
Titel på gästpublikation2018 IEEE/ACM Symposium on Edge Computing {SEC 2018) : Seattle, Washington, USA, 25-27 October 2018
Antal sidor2
FörlagIEEE
Utgivningsdatum2018
Sidor326-327
ISBN (tryckt)978-1-5386-9446-6
ISBN (elektroniskt)978-1-5386-9445-9
DOI
StatusPublicerad - 2018
MoE-publikationstypA4 Artikel i en konferenspublikation
EvenemangIEEE/ACM Symposium on Edge Computing - Bellevue, Förenta Staterna (USA)
Varaktighet: 25 okt 201827 okt 2018
Konferensnummer: 3
http://acm-ieee-sec.org/2018/

Vetenskapsgrenar

  • 113 Data- och informationsvetenskap

Citera det här

Osmani, L., Rao, A., Varjonen, S., Lagerspetz, E., Flinck, H., & Tarkoma, S. (2018). Demo: Managing Sensing Resources at the Edge using Cloud OSes. I 2018 IEEE/ACM Symposium on Edge Computing {SEC 2018): Seattle, Washington, USA, 25-27 October 2018 (s. 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. s. 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",
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booktitle = "2018 IEEE/ACM Symposium on Edge Computing {SEC 2018)",
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Osmani, L, Rao, A, Varjonen, S, Lagerspetz, E, Flinck, H & Tarkoma, S 2018, Demo: Managing Sensing Resources at the Edge using Cloud OSes. i 2018 IEEE/ACM Symposium on Edge Computing {SEC 2018): Seattle, Washington, USA, 25-27 October 2018. IEEE, s. 326-327, IEEE/ACM Symposium on Edge Computing, Bellevue, Förenta Staterna (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.

Forskningsoutput: Kapitel i bok/rapport/konferenshandlingKonferensbidragVetenskapligPeer 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

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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

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KW - Microservers

KW - Hybrid Cloud

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Osmani L, Rao A, Varjonen S, Lagerspetz E, Flinck H, Tarkoma S. Demo: Managing Sensing Resources at the Edge using Cloud OSes. I 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