[HTML][HTML] Utilization of mobile edge computing on the Internet of Medical Things: A survey
Abstract Internet of Things (IoT) enables different smart environment objects to communicate
without involving humans. Recently, IoT has started a new challenge within the healthcare …
without involving humans. Recently, IoT has started a new challenge within the healthcare …
[HTML][HTML] Hierarchical data fusion for smart healthcare
R Dautov, S Distefano, R Buyya - Journal of Big Data, 2019 - Springer
Abstract The Internet of Things (IoT) facilitates creation of smart spaces by converting
existing environments into sensor-rich data-centric cyber-physical systems with an …
existing environments into sensor-rich data-centric cyber-physical systems with an …
Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review
The explosion of data volumes generated by an increasing number of applications is
strongly impacting the evolution of distributed digital infrastructures for data analytics and …
strongly impacting the evolution of distributed digital infrastructures for data analytics and …
[HTML][HTML] Combining fog computing with sensor mote machine learning for industrial IoT
Digitalization is a global trend becoming ever more important to our connected and
sustainable society. This trend also affects industry where the Industrial Internet of Things is …
sustainable society. This trend also affects industry where the Industrial Internet of Things is …
Enabling workload engineering in edge, fog, and cloud computing through OpenStack-based middleware
To enable and support smart environments, a recent ICT trend promotes pushing
computation from the remote Cloud as close to data sources as possible, resulting in the …
computation from the remote Cloud as close to data sources as possible, resulting in the …
[HTML][HTML] Leveraging edge intelligence for video analytics in smart city applications
In smart city scenarios, the huge proliferation of monitoring cameras scattered in public
spaces has posed many challenges to network and processing infrastructure. A few dozen …
spaces has posed many challenges to network and processing infrastructure. A few dozen …
Optimal placement of stream processing operators in the fog
Elastic data stream processing enables applications to query and analyze streams of real
time data. This is commonly facilitated by processing the flow of the data streams using a …
time data. This is commonly facilitated by processing the flow of the data streams using a …
Latency and energy-awareness in data stream processing for edge based iot systems
LE-STREAM is a framework for IoT data stream processing. Data processing in IoT is
challenging due to its dynamic and heterogeneous nature, and the massive amount of …
challenging due to its dynamic and heterogeneous nature, and the massive amount of …
Stream processing on clustered edge devices
R Dautov, S Distefano - IEEE Transactions on Cloud …, 2020 - ieeexplore.ieee.org
The Internet of Things continuously generates avalanches of raw sensor data to be
transferred to the Cloud for processing and storage. Due to network latency and limited …
transferred to the Cloud for processing and storage. Due to network latency and limited …
FoT-Stream: A Fog platform for data stream analytics in IoT
Abstract The Internet of Things (IoT) has developed infrastructures and applications that
generate large amounts of data. These data are usually yielded as streams, characterized …
generate large amounts of data. These data are usually yielded as streams, characterized …