Cited by 8IoT and Edge/Fog ComputingDistributed and Parallel Computing SystemsDistributed systems and fault tolerance

Demo abstract: riaps—a resilient information architecture platform for edge computing

Emfinger, William, Dubey, Abhishek, Volgyesi, Peter, Sallai, Janos, Karsai, Gabor·2016·2016 IEEE/ACM Symposium on Edge Computing (SEC)

Abstract

The emerging CPS/IoT ecosystem platforms such as Beaglebone Black, Raspberry Pi, Intel Edison and other edge devices such as SCALE, Paradrop are providing new capabilities for data collection, analysis and processing at the edge (also referred to as Fog Computing). This allows the dynamic composition of computing and communication networks that can be used to monitor and control the physical phenomena closer to the physical system. However, there are still a number of challenges that exist and must be resolved before we see wider applicability of these platforms for applications in safety-critical application domains such as Smart Grid and Traffic Control.

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Crossref · 10.1109/sec.2016.23

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  • Edge computing architectures and systems run an increased risk of failure because computing resources are not contained in a controlled environment with a single set of emergency and backup protocols.

    “Edge Computing architectures and systems run an increased risk of failure because computing resources are not contained in a controlled environment with a single set of emergency and backup protocols [181].”

    From Edge AI: A survey (2023) · cites this paper as [181]

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Authors
Emfinger, W., Dubey, A., Volgyesi, P., Sallai, J., & Karsai, G.
Affiliations
Vanderbilt University (US)
Venue
2016 IEEE/ACM Symposium on Edge Computing (SEC)
Publisher
IEEE
Published
2016-10
Pages
119-120
OpenAlex
W2559984912
Cited by
8
References
0
Citations by year
2023: 1 · 2021: 1 · 2019: 2 · 2018: 1 · 2017: 3
FWCI
1.71
Type
conference paper
Language
en
Open access
closed
Locations
IEEE/ACM Symposium on Edge Computing (SEC) (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
  • Physical Sciences › Computer Science › Computer Networks and Communications › Distributed and Parallel Computing Systems
  • Physical Sciences › Computer Science › Computer Networks and Communications › Distributed systems and fault tolerance
Keywords
edge computing, fog computing, cyber-physical systems, Internet of Things, edge devices, safety-critical systems, smart grid, traffic management, network composition

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