z-TORCH: An automated NFV orchestration and monitoring solution
V Sciancalepore, FZ Yousaf… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Autonomous management and orchestration (MANO) of virtualized resources and services,
especially in large-scale network function virtualization (NFV) environments, is a big …
especially in large-scale network function virtualization (NFV) environments, is a big …
Akka framework based on the Actor model for executing distributed Fog Computing applications
SN Srirama, FMS Dick, M Adhikari - Future Generation Computer Systems, 2021 - Elsevier
Abstract Future Internet of Things (IoT)-driven applications will move from the cloud-centric
IoT model to the hybrid distributed processing model, known as Fog computing, where some …
IoT model to the hybrid distributed processing model, known as Fog computing, where some …
Adapting sampling interval of sensor networks using on-line reinforcement learning
Monitoring Wireless Sensor Networks (WSNs) are composed of sensor nodes that report
temperature, relative humidity, and other environmental parameters. The time between two …
temperature, relative humidity, and other environmental parameters. The time between two …
The impact of dual prediction schemes on the reduction of the number of transmissions in sensor networks
GM Dias, B Bellalta, S Oechsner - Computer Communications, 2017 - Elsevier
Abstract Future Internet of Things (IoT) applications will require that billions of wireless
devices transmit data to the cloud frequently. However, the wireless medium access is …
devices transmit data to the cloud frequently. However, the wireless medium access is …
Cloud-empowered, self-managing wireless sensor networks: Interconnecting management operations at the application layer
This article discusses the design and implementation of a scalable system architecture that
integrates wireless sensor networks (WSNs) into the Internet of Things (IoT) and exploits …
integrates wireless sensor networks (WSNs) into the Internet of Things (IoT) and exploits …
Gait adaptive duty cycle: Optimize the QoS of WBSN-HAR
To proliferate the traditional healthcare industry, the deep research is going on Wireless
Body Sensor Network (WBSN). Many healthcare deployment models are designed for …
Body Sensor Network (WBSN). Many healthcare deployment models are designed for …
Optimization of network slice placement in distributed large-scale infrastructures: from heuristics to controlled deep reinforcement learning
JJA Esteves - 2021 - theses.hal.science
This PhD thesis investigates how to optimize Network Slice Placement in distributed large-
scale infrastructures focusing on online heuristic and Deep Reinforcement Learning (DRL) …
scale infrastructures focusing on online heuristic and Deep Reinforcement Learning (DRL) …
Development of iot/cloud integration frameworks for autonomous networked robots (anr)
MK Habib, CI Chukwuemeka - 2020 21st International …, 2020 - ieeexplore.ieee.org
ANR are ubiquitous systems featured by the interaction of multirobots and WSNs, where
data is exchanged between these systems leading to wider coverage and perception. Also …
data is exchanged between these systems leading to wider coverage and perception. Also …
Cloud Empowered Self-Managing WSNs
Wireless Sensor Networks (WSNs) are composed of low powered and resource-constrained
wireless sensor nodes that are not capable of performing high-complexity algorithms …
wireless sensor nodes that are not capable of performing high-complexity algorithms …
Activity Theory and Design in the CIPHER project
L Díaz-Kommonen - 14th International Workshop on Database …, 2003 - ieeexplore.ieee.org
In this paper, current research into the use of activity theory in the development of
collaborative design tools and methods is discussed. Basic theoretical concepts from activity …
collaborative design tools and methods is discussed. Basic theoretical concepts from activity …