Experimental comparison of the diagnostic capabilities of classification and clustering algorithms for the QoS management in an autonomic IoT platform-Reference-Cited by-同舟云学术

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

Published:2019-06-26 Issue:3 Volume:13 Page:199-219
ISSN:1863-2386
Container-title:Service Oriented Computing and Applications
language:en
Short-container-title:SOCA

Author:

Morales Luis,Ouedraogo Clovis Anicet,Aguilar Jose^ORCID,Chassot Christophe,Medjiah Samir,Drira Khalil

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Management Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/s11761-019-00266-w.pdf

Reference36 articles.

1. ETSI TS 102 690 (2010) Machine-to-machine communications (M2M); Functional architecture, v2.1.1

2. oneM2M TS v1.6.1 (2015) oneM2M functional architecture

3. Zhang Q, Fitzek F (2015) Mission Critical IoT Communication in5G. Soc Inform Telecommun Eng 159:35–41

4. Ouedraogo C, Medjiah S, Chassot C (2018) Autonomic middleware based on data analysis tasks for the QoS management in the IoT. Technical Report, LAAS

5. Aguilar J, Cordero J, Barba L, Sanchez M, Valdiviezo P, Chamba L (2018) Learning analytics tasks as services in smart classroom. Univers Access Inf Soc J 17(4):693–709

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