A Multi-Criteria Decision Making Approach for Cloud-Fog Coordination

Fadwa Yahya; Zakaria Maamar; Khouloud Boukadi

doi:10.1007/978-3-030-44041-1_99

A Multi-Criteria Decision Making Approach for Cloud-Fog Coordination

Fadwa Yahya
, Zakaria Maamar
, Khouloud Boukadi

Computer Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

This paper presents a multi-criteria cloud-fog coordination model to recommend where data that things generate should be sent (either cloud, fog, or cloud & fog concurrently) and in what order (either cloud then fog, fog then cloud, or fog & cloud concurrently). The model considers end-users’ concerns such as data latency, sensitivity, and freshness. The coordination model uses fuzzy logic when addressing these concerns in preparation for producing the recommendations. For validation purposes, a healthcare-driven IoT application along with an in-house testbed, that features real sensors and fog and cloud platforms, have permitted to carry out different experiments that demonstrate the technical feasibility of both the multi-criteria cloud-fog coordination model and the fuzzy-logic-based approach.

Original language	English
Title of host publication	Advanced Information Networking and Applications - Proceedings of the 34th International Conference on Advanced Information Networking and Applications, AINA 2020
Editors	Leonard Barolli, Flora Amato, Francesco Moscato, Tomoya Enokido, Makoto Takizawa
Publisher	Springer
Pages	1150-1161
Number of pages	12
ISBN (Print)	9783030440404
DOIs	https://doi.org/10.1007/978-3-030-44041-1_99
State	Published - 2020
Event	34th International Conference on Advanced Information Networking and Applications, AINA 2020 - Caserta, Italy Duration: 15 Apr 2020 → 17 Apr 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1151 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	34th International Conference on Advanced Information Networking and Applications, AINA 2020
Country/Territory	Italy
City	Caserta
Period	15/04/20 → 17/04/20

Access to Document

10.1007/978-3-030-44041-1_99

Cite this

Yahya, F., Maamar, Z., & Boukadi, K. (2020). A Multi-Criteria Decision Making Approach for Cloud-Fog Coordination. In L. Barolli, F. Amato, F. Moscato, T. Enokido, & M. Takizawa (Eds.), Advanced Information Networking and Applications - Proceedings of the 34th International Conference on Advanced Information Networking and Applications, AINA 2020 (pp. 1150-1161). (Advances in Intelligent Systems and Computing; Vol. 1151 AISC). Springer. https://doi.org/10.1007/978-3-030-44041-1_99

Yahya, Fadwa ; Maamar, Zakaria ; Boukadi, Khouloud. / A Multi-Criteria Decision Making Approach for Cloud-Fog Coordination. Advanced Information Networking and Applications - Proceedings of the 34th International Conference on Advanced Information Networking and Applications, AINA 2020. editor / Leonard Barolli ; Flora Amato ; Francesco Moscato ; Tomoya Enokido ; Makoto Takizawa. Springer, 2020. pp. 1150-1161 (Advances in Intelligent Systems and Computing).

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title = "A Multi-Criteria Decision Making Approach for Cloud-Fog Coordination",

abstract = "This paper presents a multi-criteria cloud-fog coordination model to recommend where data that things generate should be sent (either cloud, fog, or cloud \& fog concurrently) and in what order (either cloud then fog, fog then cloud, or fog \& cloud concurrently). The model considers end-users{\textquoteright} concerns such as data latency, sensitivity, and freshness. The coordination model uses fuzzy logic when addressing these concerns in preparation for producing the recommendations. For validation purposes, a healthcare-driven IoT application along with an in-house testbed, that features real sensors and fog and cloud platforms, have permitted to carry out different experiments that demonstrate the technical feasibility of both the multi-criteria cloud-fog coordination model and the fuzzy-logic-based approach.",

author = "Fadwa Yahya and Zakaria Maamar and Khouloud Boukadi",

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isbn = "9783030440404",

series = "Advances in Intelligent Systems and Computing",

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pages = "1150--1161",

editor = "Leonard Barolli and Flora Amato and Francesco Moscato and Tomoya Enokido and Makoto Takizawa",

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Yahya, F, Maamar, Z & Boukadi, K 2020, A Multi-Criteria Decision Making Approach for Cloud-Fog Coordination. in L Barolli, F Amato, F Moscato, T Enokido & M Takizawa (eds), Advanced Information Networking and Applications - Proceedings of the 34th International Conference on Advanced Information Networking and Applications, AINA 2020. Advances in Intelligent Systems and Computing, vol. 1151 AISC, Springer, pp. 1150-1161, 34th International Conference on Advanced Information Networking and Applications, AINA 2020, Caserta, Italy, 15/04/20. https://doi.org/10.1007/978-3-030-44041-1_99

A Multi-Criteria Decision Making Approach for Cloud-Fog Coordination. / Yahya, Fadwa; Maamar, Zakaria; Boukadi, Khouloud.
Advanced Information Networking and Applications - Proceedings of the 34th International Conference on Advanced Information Networking and Applications, AINA 2020. ed. / Leonard Barolli; Flora Amato; Francesco Moscato; Tomoya Enokido; Makoto Takizawa. Springer, 2020. p. 1150-1161 (Advances in Intelligent Systems and Computing; Vol. 1151 AISC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AB - This paper presents a multi-criteria cloud-fog coordination model to recommend where data that things generate should be sent (either cloud, fog, or cloud & fog concurrently) and in what order (either cloud then fog, fog then cloud, or fog & cloud concurrently). The model considers end-users’ concerns such as data latency, sensitivity, and freshness. The coordination model uses fuzzy logic when addressing these concerns in preparation for producing the recommendations. For validation purposes, a healthcare-driven IoT application along with an in-house testbed, that features real sensors and fog and cloud platforms, have permitted to carry out different experiments that demonstrate the technical feasibility of both the multi-criteria cloud-fog coordination model and the fuzzy-logic-based approach.

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Yahya F, Maamar Z, Boukadi K. A Multi-Criteria Decision Making Approach for Cloud-Fog Coordination. In Barolli L, Amato F, Moscato F, Enokido T, Takizawa M, editors, Advanced Information Networking and Applications - Proceedings of the 34th International Conference on Advanced Information Networking and Applications, AINA 2020. Springer. 2020. p. 1150-1161. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-44041-1_99

A Multi-Criteria Decision Making Approach for Cloud-Fog Coordination

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