Journal article
SAIoT: Scalable Anomaly-Aware Services Composition in CloudIoT Environments
Mohammadreza Razian, Mohammad Fathian, Huaming Wu, Ahmad Akbari, Rajkumar Buyya
IEEE INTERNET OF THINGS JOURNAL | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | Published : 2021
Abstract
Among the novel IT paradigms, cloud computing and the Internet of Things (CloudIoT) are two complementary areas designed to support the creation of smart cities and application services. The CloudIoT not only presents ubiquitous services through IoT nodes but it also provides virtually unlimited resources through services composition. The services composition problem aims to find a set of services among functionally equivalent services with different Quality of Service (QoS) concerning users' constraints. To this aim, previous studies calculate QoS values through service logs without considering the presence of anomalies in the existing QoS values; however, the dynamicity of distributed serv..
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Awarded by National Key Research and Development Program of China
Awarded by National Natural Science Foundation of China
Funding Acknowledgements
This work was supported in part by the Melbourne-Chindia Cloud Computing Research Network, the University of Melbourne, Australia; in part by the National Key Research and Development Program of China under Grant 2018YFC0809800; and in part by the National Natural Science Foundation of China under Grant 61801325.