Experimental comparison of the diagnostic capabilities of classification and clustering algorithms for the QoS management in an autonomic IoT platform

The Internet of Things (IoT) platforms must allow the communication between the Applications and Devices according to their non-functional requirements. One of the main non-functional requirements is the Quality of Service (QoS). In a previous work has been defined an autonomic IoT platform for the...

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Bibliographic Details
Published in:	Service oriented computing and applications Vol. 13; no. 3; pp. 199 - 219
Main Authors:	Morales, Luis, Ouedraogo, Clovis Anicet, Aguilar, Jose, Chassot, Christophe, Medjiah, Samir, Drira, Khalil
Format:	Journal Article
Language:	English
Published:	London Springer London 01.09.2019 Springer Nature B.V Springer
Subjects:	Algorithms Artificial Intelligence Classification Clustering Communications systems Computer Appl. in Administrative Data Processing Computer Science Computer simulation Computer Systems Organization and Communication Networks Data analysis Diagnostic systems e-Commerce/e-business Internet of Things IT in Business Machine Learning Management Management of Computing and Information Systems Multivariate analysis Networking and Internet Architecture Original Research Paper Quality of service Software Engineering/Programming and Operating Systems Autonomic cycle of data analysis tasks IoT platforms Clustering Quality of Service Classification Diagnostic capabilities
ISSN:	1863-2386, 1863-2394
Online Access:	Get full text
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