A scalable and adaptive tasks orchestration platform for IoT

C Mechalikh, H Taktak, F Moussa - 2019 15th International …, 2019 - ieeexplore.ieee.org
Edge computing is an emerging computing paradigm that aims to solve the cloud limitations
by bringing its applications closer to the Internet of Things (IoT) devices. Thanks to its …

A fuzzy decision tree based tasks orchestration algorithm for edge computing environments

C Mechalikh, H Taktak, F Moussa - … of the 34th International Conference on …, 2020 - Springer
With the emergence of the Internet of Things (IoT), a new computing paradigm-Edge
Computing-is evolving. Thanks to its horizontal scalability, this new paradigm leverages the …

Dynamic edge fabric environment: Seamless and automatic switching among resources at the edge of iot network and cloud

F Jalali, T Lynar, OJ Smith, RR Kolluri… - … Conference on Edge …, 2019 - ieeexplore.ieee.org
The number of IoT devices at the edge of the network is increasing rapidly. Data from IoT
devices can be analysed locally at the edge, or they may be sent to the cloud. Currently, the …

Task scheduling in the internet of things: challenges, solutions, and future trends

T Bu, Z Huang, K Zhang, Y Wang, H Song, J Zhou… - Cluster …, 2024 - Springer
Abstract The Internet of Things (IoT) paradigm, by transforming physical devices into
innovative items, affects every aspect of our daily lives. It has brought a slew of evolutionary …

Efficient hosting of robust iot applications on edge computing platform

C Avasalcai, B Zarrin, P Pop… - 2020 IEEE 4th …, 2020 - ieeexplore.ieee.org
Demanding IoT application requirements such as high dependability and low latency,
cannot be satisfied by centralized cloud computing when deploying these applications …

[HTML][HTML] Deep Reinforcement Learning techniques for dynamic task offloading in the 5G edge-cloud continuum

G Nieto, I de la Iglesia, U Lopez-Novoa… - Journal of Cloud …, 2024 - Springer
The integration of new Internet of Things (IoT) applications and services heavily relies on
task offloading to external devices due to the constrained computing and battery resources …

Scheduling the execution of tasks at the edge

K Kolomvatsos, T Loukopoulos - 2018 IEEE Conference on …, 2018 - ieeexplore.ieee.org
The Internet of Things provides a huge infrastructure where numerous devices produce,
collect and process data. These data are the basis for offering analytics to support novel …

Task offloading in autonomous IoT systems using deep reinforcement learning and ns3-gym

AK Chabi Sika Boni, H Hassan, K Drira - Proceedings of the 11th …, 2021 - dl.acm.org
IoT systems grow quickly and are massively present in urban areas. Their successful
deployment requires autonomy that can be built on automated learning technologies such …

A workflow-aided Internet of things paradigm with intelligent edge computing

Y Qian, L Shi, J Li, Z Wang, H Guan, F Shu… - IEEE …, 2020 - ieeexplore.ieee.org
In this article, we propose a workflow-aided Internet of things (WIoT) paradigm with
intelligent edge computing (IEC) to automate the execution of IoT applications with …

A demand-driven, proactive tasks management model at the edge

A Karanika, P Oikonomou… - … conference on fuzzy …, 2020 - ieeexplore.ieee.org
Tasks management is a very interesting research topic for various application domains.
Tasks may have the form of analytics or any other processing activities over the available …