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

Document Type

Conference Proceeding

Source of Publication

Advances in Intelligent Systems and Computing

Publication Date

1-1-2020

Abstract

© 2020, Springer Nature Switzerland AG. 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.

ISBN

9783030440404

ISSN

2194-5365

Publisher

Springer

Volume

1151 AISC

First Page

1150

Last Page

1161

Disciplines

Computer Sciences

Keywords

Carry logic, Computer circuits, Decision making, Electroplating shops, Fuzzy logic, Cloud platforms, Coordination model, Data latencies, End users, Fuzzy logic based approach, IOT applications, Multi criteria decision making, Multi-criteria, Fog

Scopus ID

85083705926

Indexed in Scopus

yes

Open Access

no

Link to Full Text

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