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Container-based architecture for optimal face-recognition tasks in edge computing

Authors:

Nadim Tellez,

Miguel Jimeno,

Augusto Salazar,

Elias D. Nino-RuizAuthors Info & Claims

SEC '19: Proceedings of the 4th ACM/IEEE Symposium on Edge Computing

Pages 301 - 303

https://doi.org/10.1145/3318216.3363323

Published: 07 November 2019 Publication History

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Abstract

Edge Computing has been proposed as an architecture for offering services to mobile devices or sensors. Modern multimedia applications such as face recognition, object and pose identification, and mobile augmented reality require cloud computing resources close to the mobile and sensors devices. Docker and containers have been proposed as a platform for edge computing and as a tool for efficient service handoff across edge computing servers. This paper presents a novel container-based Fog computing environment to improve resource usage for the architecture using optimization algorithms.

References

[1]

K. Ha et al., "The Impact of Mobile Multimedia Applications on Data Center Consolidation," in 2013 IEEE International Conference on Cloud Engineering (IC2E), 2013, pp. 166--176.

Google Scholar

[2]

M. Satyanarayanan, P. Bahl, R. Caceres, and N. Davies, "The Case for VM-Based Cloudlets in Mobile Computing," IEEE Pervasive Comput., vol. 8, no. 4, pp. 14--23, Oct. 2009.

Digital Library

Google Scholar

[3]

M. Satyanarayanan, "The Emergence of Edge Computing," Computer, vol. 50, no. 1, pp. 30--39, Jan. 2017.

Crossref

Google Scholar

[4]

F. Bonomi, R. Milito, J. Zhu, and S. Addepalli, "Fog Computing and Its Role in the Internet of Things," in Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing, New York, NY, USA, 2012, pp. 13--16.

Google Scholar

[5]

B. I. Ismail et al., "Evaluation of Docker as Edge computing platform," in 2015 IEEE Conference on Open Systems (ICOS), 2015, pp. 130--135.

Google Scholar

[6]

L. Ma, S. Yi, and Q. Li, "Efficient Service Handoff Across Edge Servers via Docker Container Migration," in Proceedings of the Second ACM/IEEE Symposium on Edge Computing, New York, NY, USA, 2017, p. 11:1--11:13.

Google Scholar

[7]

N. Tellez, M. Jimeno, A. Salazar, and E. Nino-Ruiz, "A Tabu Search Method for Load Balancing in Fog Computing," Int. J. Artif. Intell., vol. 16, no. 2, Oct. 2018.

Google Scholar

[8]

"Gurobi Optimization - The State-of-the-Art Mathematical Programming Solver." [Online]. Available: http://www.gurobi.com/. [Accessed: 26-Jul-2018].

Google Scholar

[9]

"Welcome | Flask (A Python Microframework)." [Online]. Available: http://flask.pocoo.org/. [Accessed: 26-Jul-2018].

Google Scholar

Cited By

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Gupta SSingh N(2023)Resource Management with Load Balancing Strategies in Fog-IoT Computing Environment: Trends, Challenges and Future directions2023 International Conference on Artificial Intelligence and Smart Communication (AISC)10.1109/AISC56616.2023.10085287(1358-1359)Online publication date: 27-Jan-2023
https://doi.org/10.1109/AISC56616.2023.10085287
Meng XLu W(2021)Container-Based Fast Service Migration Method for Mobile Edge ComputingJournal of Circuits, Systems and Computers10.1142/S021812662250117130:15Online publication date: 20-Dec-2021
https://doi.org/10.1142/S0218126622501171
Oleghe O(2021)Container Placement and Migration in Edge Computing: Concept and Scheduling ModelsIEEE Access10.1109/ACCESS.2021.30775509(68028-68043)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3077550
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Published In

SEC '19: Proceedings of the 4th ACM/IEEE Symposium on Edge Computing

November 2019

455 pages

ISBN:9781450367332

DOI:10.1145/3318216

General Chairs:
Songqing Chen
George Mason University
,
Ryokichi Onishi
Toyota
,
Program Chairs:
Ganesh Ananthanarayanan
Microsoft Research
,
Qun Li
College of William & Mary

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 07 November 2019

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SEC '19: The Fourth ACM/IEEE Symposium on Edge Computing

November 7 - 9, 2019

Virginia, Arlington

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SEC '19 Paper Acceptance Rate 20 of 59 submissions, 34%;

Overall Acceptance Rate 40 of 100 submissions, 40%

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Gupta SSingh N(2023)Resource Management with Load Balancing Strategies in Fog-IoT Computing Environment: Trends, Challenges and Future directions2023 International Conference on Artificial Intelligence and Smart Communication (AISC)10.1109/AISC56616.2023.10085287(1358-1359)Online publication date: 27-Jan-2023
https://doi.org/10.1109/AISC56616.2023.10085287
Meng XLu W(2021)Container-Based Fast Service Migration Method for Mobile Edge ComputingJournal of Circuits, Systems and Computers10.1142/S021812662250117130:15Online publication date: 20-Dec-2021
https://doi.org/10.1142/S0218126622501171
Oleghe O(2021)Container Placement and Migration in Edge Computing: Concept and Scheduling ModelsIEEE Access10.1109/ACCESS.2021.30775509(68028-68043)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3077550
Kallel ARekik MKhemakhem M(2020)IoT‐fog‐cloud based architecture for smart systems: Prototypes of autism and COVID‐19 monitoring systemsSoftware: Practice and Experience10.1002/spe.292451:1(91-116)Online publication date: 3-Nov-2020
https://doi.org/10.1002/spe.2924

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Deviceless edge computing: extending serverless computing to the edge of the network

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