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Machine learning-based computation offloading in multi-access edge computing: A survey
The advancement of technology towards the realization of the evolving mobile computing
paradigm brings a rapid paradigm shift in its usage, especially in the Internet, computation …
paradigm brings a rapid paradigm shift in its usage, especially in the Internet, computation …
Task offloading based on LSTM prediction and deep reinforcement learning for efficient edge computing in IoT
In IoT (Internet of Things) edge computing, task offloading can lead to additional
transmission delays and transmission energy consumption. To reduce the cost of resources …
transmission delays and transmission energy consumption. To reduce the cost of resources …
A survey on resource scheduling approaches in multi-access edge computing environment: a deep reinforcement learning study
Multi-access edge computing (MEC) brings many services closer to user devices, alleviating
the pressure on resource-constrained devices. It enables devices to offload compute …
the pressure on resource-constrained devices. It enables devices to offload compute …
Proof of evaluation-based energy and delay aware computation offloading for digital twin edge network
The increasing availability of Internet of Things (IoT) applications has led to the development
of new technologies. Specifically, the deployment of edge servers close to IoT devices has …
of new technologies. Specifically, the deployment of edge servers close to IoT devices has …
Joint task offloading and dispatching for MEC with rational mobile devices and edge nodes
Multi-access Edge Computing has come forth as a promising paradigm to provide low-
latency computing service to mobile end users. Its basic idea is to deploy computation …
latency computing service to mobile end users. Its basic idea is to deploy computation …
Microservice Application Scheduling in Multi-Tiered Fog-Computing-Enabled IoT
Fog computing extends mobile cloud computing facilities at the network edge, yielding low-
latency application execution. To supplement cloud services, computationally intensive …
latency application execution. To supplement cloud services, computationally intensive …
WaterEdge: Edge–Cloud Collaborative Intelligent Coagulation System for Group-Level Water Treatment Plants
Y Wang, S Yang, X Ren, S Guo, C Zhao… - IEEE Systems …, 2023 - ieeexplore.ieee.org
Providing an intelligent coagulation solution for group-level water treatment plants (WTPs) is
of great significance to improve coagulation efficiency. Existing solutions are devoted to …
of great significance to improve coagulation efficiency. Existing solutions are devoted to …
Data Security Aware and Effective Task Offloading Strategy in Mobile Edge Computing
With the research and development of 5G technology, emerging markets such as Wise
Information Technology of med, smart transportation and industrial Internet are gradually …
Information Technology of med, smart transportation and industrial Internet are gradually …
DRL-Based Service Function Chain Edge-to-Edge and Edge-to-Cloud Joint Offloading in Edge-Cloud Network
W Fan, F Yang, P Wang, M Miao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this paper, we study service function chain (SFC) offloading in the edge-cloud network.
Two offloading options are available for fully-loaded edge nodes: edge to edge (E2E) …
Two offloading options are available for fully-loaded edge nodes: edge to edge (E2E) …
D2op: A fair dual-objective weighted scheduling scheme in internet of everything
In times of the Internet of Everything (IoE), the power of the Internet is growing exponentially,
followed by a surge in the number of network requests. The conflict between people's high …
followed by a surge in the number of network requests. The conflict between people's high …