DocumentCode :
737125
Title :
iCOMOT -- A Toolset for Managing IoT Cloud Systems
Author :
Truong, Hong-Linh ; Copil, Georgiana ; Dustdar, Schahram ; Le, Duc-Hung ; Moldovan, Daniel ; Nastic, Stefan
Volume :
1
fYear :
2015
fDate :
15-18 June 2015
Firstpage :
299
Lastpage :
302
Abstract :
Developing and operating IoT cloud systems require novel features for deploying, controlling, monitoring and testing both IoT units and cloud services in an integrated environment spanning different infrastructures. In this paper, we demonstrate iCOMOT -- a novel toolset offering these features. Using iCOMOT we can perform various activities, such as dynamically reconfiguration of sensors, communication protocols, and cloud services in an elastic manner, suitable for testing and assuring quality of IoT cloud systems configurations. We will demonstrate our iCOMOT with a real-world predictive maintenance case study.
Keywords :
Cloud computing; Elasticity; Logic gates; Protocols; Runtime; Sensors; Testing; IoT; cloud service; elasticity; monitoring; testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mobile Data Management (MDM), 2015 16th IEEE International Conference on
Conference_Location :
Pittsburgh, PA, USA
Print_ISBN :
978-1-4799-9971-2
Type :
conf
DOI :
10.1109/MDM.2015.65
Filename :
7264337
Link To Document :
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