DocumentCode :
3779434
Title :
Monitoring solution for autonomic Middleware-level QoS management within IoT systems
Author :
Yassine Banouar;Saad Reddad;Cod? Diop;Christophe Chassot;Abdellah Zyane
Author_Institution :
CNRS, LAAS, 7 avenue du colonel Roche, F-31400 Toulouse, France
fYear :
2015
Firstpage :
1
Lastpage :
8
Abstract :
Nowadays, the Internet of Things (IoT) paradigm is expanding immensely. It brings ubiquitous intelligence through the interconnection of equipment (sensors, devices, etc.) to the Internet, allowing the birth of a new era of applications in various fields. One of the main challenges to be considered in the IoT is the Quality of Service (QoS) issue. Aiming to support the vision of an autonomic Middleware-level QoS management for IoT systems, this paper proposes and validates a functional architecture of a monitoring component for the detection of QoS degradation. We also demonstrate the benefits that could be gained from simple QoS-oriented adaptation actions dynamically executed to overcome the detected degradations.
Keywords :
"Quality of service","Monitoring","Reliability","Information filters"
Publisher :
ieee
Conference_Titel :
Computer Systems and Applications (AICCSA), 2015 IEEE/ACS 12th International Conference of
Electronic_ISBN :
2161-5330
Type :
conf
DOI :
10.1109/AICCSA.2015.7507202
Filename :
7507202
Link To Document :
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