Edge AI: On-demand accelerating deep neural network inference via edge computing
As a key technology of enabling Artificial Intelligence (AI) applications in 5G era, Deep
Neural Networks (DNNs) have quickly attracted widespread attention. However, it is …
Neural Networks (DNNs) have quickly attracted widespread attention. However, it is …
Edge-enabled two-stage scheduling based on deep reinforcement learning for internet of everything
Nowadays, the concept of Internet of Everything (IoE) is becoming a hotly discussed topic,
which is playing an increasingly indispensable role in modern intelligent applications. These …
which is playing an increasingly indispensable role in modern intelligent applications. These …
Resource allocation and task scheduling in fog computing and internet of everything environments: A taxonomy, review, and future directions
The Internet of Everything paradigm is being rapidly adopted in develo** applications for
different domains like smart agriculture, smart city, big data streaming, and so on. These IoE …
different domains like smart agriculture, smart city, big data streaming, and so on. These IoE …
Deadline-aware and energy-efficient IoT task scheduling in fog computing systems: A semi-greedy approach
With the rapid advancement of Internet of Things (IoT) devices, a variety of IoT applications
that require a real-time response and low latency have emerged. Fog computing has …
that require a real-time response and low latency have emerged. Fog computing has …
Smart healthcare IoT applications based on fog computing: architecture, applications and challenges
The history of human development has proven that medical and healthcare applications for
humanity always are the main driving force behind the development of science and …
humanity always are the main driving force behind the development of science and …
Task offloading in fog computing: A survey of algorithms and optimization techniques
The exponential growth in Internet of Things (IoT) devices and the limitations of cloud
computing in terms of latency and quality of service for time-sensitive applications have led …
computing in terms of latency and quality of service for time-sensitive applications have led …
Partial offloading scheduling and power allocation for mobile edge computing systems
Mobile edge computing (MEC) is a promising technique to enhance computation capacity at
the edge of mobile networks. The joint problem of partial offloading decision, offloading …
the edge of mobile networks. The joint problem of partial offloading decision, offloading …