L Kong, J Tan, J Huang, G Chen, S Wang, X Jin… - ACM Computing …, 2022 - dl.acm.org
The Internet of Things (IoT) is impacting the world's connectivity landscape. More and more IoT devices are connected, bringing many benefits to our daily lives. However, the influx of …
Distributed computation and AI processing at the edge has been identified as an efficient solution to deliver real-time IoT services and applications compared to cloud-based …
S Dustdar, I Murturi - 2020 IEEE Second International …, 2020 - ieeexplore.ieee.org
In the past few years, researchers from academia and industry stakeholders suggest adding more computational resources (ie, storage, networking, and processing) closer to the end …
The number of Internet of Things applications is forecast to grow exponentially within the coming decade. Owners of such applications strive to make predictions from large streams …
Recently, big data analytics has received important attention in a variety of application domains including business, finance, space science, healthcare, telecommunication and …
H Lee, S Lee, YC Lee, H Han… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Edge computing has emerged as a viable solution to bridge the gap between distributed Internet of Things (IoT) devices and centralized distant clouds. In particular, small-scale …
The fast proliferation of internet-enabled devices generates massive amounts of data every day from every aspect of life. These internet-enabled devices lack the storage, processing …
Fog computing, also known as Edge computing, is an emerging computational paradigm, increasingly utilized in Internet of Things (IoT) applications, particularly those that cannot be …
H Chen, W Qin, L Wang - Journal of Cloud Computing, 2022 - Springer
Abstract Internet of Things (IoT) is made up with growing number of facilities, which are digitalized to have sensing, networking and computing capabilities. Traditionally, the large …