Demo

Managing Sensing Resources at the Edge using Cloud OSes

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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.
Original languageEnglish
Title of host publication2018 IEEE/ACM Symposium on Edge Computing {SEC 2018) : Seattle, Washington, USA, 25-27 October 2018
Number of pages2
PublisherIEEE
Publication date2018
Pages326-327
ISBN (Print)978-1-5386-9446-6
ISBN (Electronic)978-1-5386-9445-9
DOIs
Publication statusPublished - 2018
MoE publication typeA4 Article in conference proceedings
EventIEEE/ACM Symposium on Edge Computing - Bellevue, United States
Duration: 25 Oct 201827 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

Osmani, L., Rao, A., Varjonen, S., Lagerspetz, E., Flinck, H., & Tarkoma, S. (2018). Demo: Managing Sensing Resources at the Edge using Cloud OSes. In 2018 IEEE/ACM Symposium on Edge Computing {SEC 2018): Seattle, Washington, USA, 25-27 October 2018 (pp. 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. pp. 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. in 2018 IEEE/ACM Symposium on Edge Computing {SEC 2018): Seattle, Washington, USA, 25-27 October 2018. IEEE, pp. 326-327, IEEE/ACM Symposium on Edge Computing, Bellevue, United States, 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. p. 326-327.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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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.

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KW - Air quality

KW - Ethernet

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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. In 2018 IEEE/ACM Symposium on Edge Computing {SEC 2018): Seattle, Washington, USA, 25-27 October 2018. IEEE. 2018. p. 326-327 https://doi.org/10.1109/SEC.2018.00032