research-article

Bringing the Cloud to Rural and Remote Areas via Cloudlets

Authors:

Stefan Brocanelli,

Filippo Cardano,

Daniele Gadler,

Daniel Morandini,

Alessandro Piccoli,

Alam Mahabub Sharear,

Angelo Ventura,

Pekka Abrahamsson, and

Tosin Daniel OyetoyanAuthors Info & Claims

ACM DEV '16: Proceedings of the 7th Annual Symposium on Computing for Development

November 2016

Article No.: 14, Pages 1 - 10

https://doi.org/10.1145/3001913.3001918

Published: 18 November 2016 Publication History

Abstract

Instead of relying on huge and expensive data centers for rolling out cloud-based services to rural and remote areas, we propose a hardware platform based on small single-board computers. The role of these micro-data centers is twofold. On the one hand, they act as intermediaries between cloud services and clients, improving availability in the case of network or power outages. On the other hand, they run community-based services on local infrastructure. We illustrate how to build such a system without incurring high costs, high power consumption, or single points of failure. Additionally, we opt for a system that is extendable and scalable as well as easy to deploy, relying on an open design.

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Cited By

Piramuthu OCaesar M(2023)Drone-Hosted Computation for Emergency ResponseIEEE Internet of Things Journal10.1109/JIOT.2023.328404510:23(20408-20414)Online publication date: 1-Dec-2023
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Greisz EGarrison P(2022)6 Years Later: Examining Long-term Project OutcomesProceedings of the 5th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies10.1145/3530190.3534825(1-11)Online publication date: 29-Jun-2022
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Junior FKamienski C(2021)A Survey on Trustworthiness for the Internet of ThingsIEEE Access10.1109/ACCESS.2021.30664579(42493-42514)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3066457
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ACM DEV '16: Proceedings of the 7th Annual Symposium on Computing for Development

November 2016

265 pages

ISBN:9781450346498

DOI:10.1145/3001913

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 18 November 2016

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ACM DEV '16

ACM DEV '16: Annual Symposium on Computing for Development

November 18 - 20, 2016

Nairobi, Kenya

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Cited By

Piramuthu OCaesar M(2023)Drone-Hosted Computation for Emergency ResponseIEEE Internet of Things Journal10.1109/JIOT.2023.328404510:23(20408-20414)Online publication date: 1-Dec-2023
https://doi.org/10.1109/JIOT.2023.3284045
Greisz EGarrison P(2022)6 Years Later: Examining Long-term Project OutcomesProceedings of the 5th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies10.1145/3530190.3534825(1-11)Online publication date: 29-Jun-2022
https://dl.acm.org/doi/10.1145/3530190.3534825
Junior FKamienski C(2021)A Survey on Trustworthiness for the Internet of ThingsIEEE Access10.1109/ACCESS.2021.30664579(42493-42514)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3066457
Kim JUllah SKim D(2021)GPU-based embedded edge server configuration and offloading for a neural network serviceThe Journal of Supercomputing10.1007/s11227-021-03623-9Online publication date: 25-Jan-2021
https://doi.org/10.1007/s11227-021-03623-9
Khaydarova RFishchenko VMouromtsev DShmatkov VLapaev M(2020)ROCK-CNN: a Distributed RockPro64-based Convolutional Neural Network Cluster for IoT. Verification and Performance Analysis2020 26th Conference of Open Innovations Association (FRUCT)10.23919/FRUCT48808.2020.9087457(174-181)Online publication date: Apr-2020
https://doi.org/10.23919/FRUCT48808.2020.9087457
von Leon DMiori LSanin JEl Ioini NHelmer SPahl C(2019)A Lightweight Container Middleware for Edge Cloud ArchitecturesFog and Edge Computing10.1002/9781119525080.ch7(145-170)Online publication date: 11-Jan-2019
https://doi.org/10.1002/9781119525080.ch7
Singer JHerry HBasford PHajji WPerkins CTso FPezaros DMullins RYoneki ECox SJohnston S(2018)Next generation single board clustersNOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium10.1109/NOMS.2018.8406120(1-3)Online publication date: 23-Apr-2018
https://dl.acm.org/doi/10.1109/NOMS.2018.8406120
Johnston SBasford PPerkins CHerry HTso FPezaros DMullins RYoneki ECox SSinger J(2018)Commodity single board computer clusters and their applicationsFuture Generation Computer Systems10.1016/j.future.2018.06.04889:C(201-212)Online publication date: 1-Dec-2018
https://dl.acm.org/doi/10.1016/j.future.2018.06.048
Johnston SCox S(2017)The Raspberry Pi: A Technology Disrupter, and the Enabler of DreamsElectronics10.3390/electronics60300516:3(51)Online publication date: 12-Jul-2017
https://doi.org/10.3390/electronics6030051
Miori LSanin JHelmer S(2017)A Platform for Edge Computing Based on Raspberry Pi ClustersData Analytics10.1007/978-3-319-60795-5_16(153-159)Online publication date: 14-Jun-2017
https://doi.org/10.1007/978-3-319-60795-5_16

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