Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Data quality-aware task offloading in mobile edge computing: An optimal stop** theory approach
An important use case of the Mobile Edge Computing (MEC) paradigm is task and data
offloading. Computational offloading is beneficial for a wide variety of mobile applications on …
offloading. Computational offloading is beneficial for a wide variety of mobile applications on …
A demand-driven, proactive tasks management model at the edge
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 …
Tasks may have the form of analytics or any other processing activities over the available …
Deep reinforcement learning based adaptive threshold multi-tasks offloading approach in mec
L Mu, B Ge, C ** theory in edge computing empowered internet of vehicles
L Mu, B Ge, C **a, C Wu - Entropy, 2022 - mdpi.com
Vehicular edge computing is a new computing paradigm. By introducing edge computing
into the Internet of Vehicles (IoV), service providers are able to serve users with low-latency …
into the Internet of Vehicles (IoV), service providers are able to serve users with low-latency …
On the optimality of task offloading in mobile edge computing environments
Mobile Edge Computing (MEC) has emerged as new computing paradigm to improve the
QoS of users' applications. A challenge in MEC is computation (task/data) offloading, whose …
QoS of users' applications. A challenge in MEC is computation (task/data) offloading, whose …
[HTML][HTML] Edge-centric inferential modeling & analytics
C Anagnostopoulos - Journal of Network and Computer Applications, 2020 - Elsevier
This work contributes to a real-time, edge-centric inferential modeling and analytics
methodology introducing the fundamental mechanisms for (i) predictive models update and …
methodology introducing the fundamental mechanisms for (i) predictive models update and …
[HTML][HTML] Delay-tolerant sequential decision making for task offloading in mobile edge computing environments
In recent years, there has been a significant increase in the use of mobile devices and their
applications. Meanwhile, cloud computing has been considered as the latest generation of …
applications. Meanwhile, cloud computing has been considered as the latest generation of …
A deep learning model for demand-driven, proactive tasks management in pervasive computing
Pervasive computing applications deal with the intelligence surrounding users that can
facilitate their activities. This intelligence is provided in the form of software components …
facilitate their activities. This intelligence is provided in the form of software components …
Optimal placement of recurrent service chains on distributed edge-cloud infrastructures
By increasing the number of IoT-devices, cloud-computing faces challenges for some
computation and time-sensitive applications. Edge-computing has emerged to enable IoT …
computation and time-sensitive applications. Edge-computing has emerged to enable IoT …