Scalability of IoT Systems: Do Execution Costs Predict the Quality of Service?
Document Type
Conference Proceeding
Publication Date
1-1-2023
Abstract
Execution costs are broadly used in the evaluation of the scalability of IoT systems. A well-known concern in their use is the extent to which their scalability desiderata best predicts Quality of Service (QoS). At first, past studies did not ratify a relationship between the scalability approaches and QoS in IoT systems. More recently, however, the correlations between these have begun to emerge. In this paper, we extend those findings and open up new avenues to further research by proposing a statistical testing approach for scrutinizing this relationship. The initial findings delineate that there is a significant correlation between the scalability approach employed and QoS in IoT systems. Our results strengthen the use of execution costs in the scalability of IoT systems confirming that QoS can be successfully predicted.
Publication Title
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
First Page Number
91
Last Page Number
100
DOI
10.1007/978-3-031-25222-8_8
Recommended Citation
Al-Qasmi, Ahmed; Al Shuaily, Huda; Ehimwenma, Kennedy E.; and Al Sharji, Safiya, "Scalability of IoT Systems: Do Execution Costs Predict the Quality of Service?" (2023). Kean Publications. 440.
https://digitalcommons.kean.edu/keanpublications/440