research-article

A Serverless Real-Time Data Analytics Platform for Edge Computing

Authors:

Radu ProdanAuthors Info & Claims

IEEE Internet Computing, Volume 21, Issue 4

Pages 64 - 71

https://doi.org/10.1109/MIC.2017.2911430

Published: 01 January 2017 Publication History

Abstract

Contemporary solutions for cloud-supported, edge-data analytics mostly apply analytics techniques in a rigid bottom-up approach, regardless of the data's origin. Typically, data are generated at the edge of the infrastructure and transmitted to the cloud, where traditional data analytics techniques are applied. Currently, developers are forced to resort to ad hoc solutions specifically tailored for the available infrastructure (for example, edge devices) when designing, developing, and operating the data analytics applications. Here, a novel approach implements cloud-supported, real-time data analytics in edge-computing applications. The authors introduce their serverless edge-data analytics platform and application model and discuss their main design requirements and challenges, based on real-life healthcare use case scenarios.

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A Serverless Real-Time Data Analytics Platform for Edge Computing

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Published In

IEEE Internet Computing Volume 21, Issue 4

2017

95 pages

ISSN:1089-7801

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IEEE Educational Activities Department

United States

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Published: 01 January 2017

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Wen SShukla AKatt B(2025)Artificial intelligence for system security assurance: A systematic literature reviewInternational Journal of Information Security10.1007/s10207-024-00959-024:1Online publication date: 1-Feb-2025
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Ristov SBrandacher SHautz MFelderer MBreu R(2024) CODEFuture Generation Computer Systems10.1016/j.future.2024.06.017160:C(442-456)Online publication date: 1-Nov-2024
https://dl.acm.org/doi/10.1016/j.future.2024.06.017
Merlino GTricomi GD’Agati LBenomar ZLongo FPuliafito A(2024)FaaS for IoTFuture Generation Computer Systems10.1016/j.future.2023.12.029154:C(189-205)Online publication date: 1-May-2024
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Nastic S(2024)Self-Provisioning Infrastructures for the Next Generation Serverless ComputingSN Computer Science10.1007/s42979-024-03022-w5:6Online publication date: 26-Jun-2024
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Nakakaze OKoren IBrillowski FKlamma R(2024)Adaptive retrofitting for industrial machines: utilizing webassembly and peer-to-peer connectivity on the edgeWorld Wide Web10.1007/s11280-024-01237-827:1Online publication date: 25-Jan-2024
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Ismail AAli ZAbdellatef ESakr NSedhom G(2024)Congestion Management Using K-Means for Mobile Edge Computing 5G SystemWireless Personal Communications: An International Journal10.1007/s11277-024-11313-x136:4(2105-2124)Online publication date: 1-Jun-2024
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Sun YZhang CHuang T(2024)Joint Task Dispatching and Bandwidth Allocation with Hard Deadlines in Distributed Serverless Edge Computing SystemsJournal of Grid Computing10.1007/s10723-024-09770-622:2Online publication date: 16-May-2024
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Zhu MLiang MLi HLu YPang M(2023)Intelligent acceptance systems for distribution automation terminals: an overview of edge computing technologies and applicationsJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-023-00529-012:1Online publication date: 23-Oct-2023
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